what region is monkey app available in

Africa for the purpose of enhancement DOCD is available for public review at of FL ; of Mexico OCS Region, Minerals APP # 5707BM Management Service. Explore other apps, sites and games · Talk to your child about what they're sharing · Let your child know they can talk to you · Know where to get further support. However, we are not in favor of any sort of money spending thing, so you must be in charge of what you purchase. Get on android · Download iOS.

What region is monkey app available in -

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Источник: https://slack.com/help/articles/229002507-Create-a-poll-in-Slack

AI Evolved These Creepy Images to Please a Monkey’s Brain

What happens when an algorithm can ask neurons what they want to see?

By Ed Yong

Images produced by XDREAM

In April 2018, a monkey named Ringo sat in a Harvard lab, sipping juice, while strange images flickered in front of his eyes. The pictures were created by an artificial-intelligence algorithm called XDREAM, which gradually tweaked them to stimulate one particular neuron in Ringo’s brain, in a region that’s supposedly specialized for recognizing faces. As the images evolved, the neuron fired away, and the team behind XDREAM watched from a nearby room.

At first, the pictures were gray and formless. But as time passed, “from this haze, something started staring back at us,” says the neuroscientist Carlos Ponce. Two black dots with a black line beneath them, all against a pale oval. A face, albeit an abstracted one. Soon a red patch appeared next to it, which reminded the watching researchers of the red collar worn by a monkey who lives in the cage opposite Ringo’s. “We all looked at it and said, ‘Oh, that’s Anthony,’” says Margaret Livingstone, a neuroscientist at Harvard Medical School.

“And then, a few days later, we evolved Diane,” she adds. Diane is one of the monkeys’ caretakers, who feeds them while wearing blue scrubs and a white face mask. And when the team hooked XDREAM up to another of the monkey’s visual neurons, it produced a distorted image of a face in a white mask.

XDREAM’s images look like glitchy Kandinsky paintings viewed during a bad trip. You really wouldn’t want to hang them on your wall. But each one is close to the ideal stimulus for a particular neuron. And collectively, they tell us something interesting about how our brain makes sense of the world, and how much we still don’t understand about that process. “If cells are dreaming, [these images] are what the cells are dreaming about,” says Ponce. “It exposes the visual vocabulary of the brain, in a way that’s unbiased by our anthropomorphic perspective.”

The first hints of that vocabulary emerged in 1962, when Torsten Wiesel and David Hubel showed that specific neurons in the brain’s visual centers are tuned to specific stimuli—lights moving in particular directions, or lines aligned in particular ways. Since then, other neuroscientists have identified neurons that respond to colors, curvatures, faces, hands, and outdoor scenes. But here’s the catch: Those scientists always chose which kinds of shape to test, and their intuition might not reflect the actual stimuli to which the neurons are attuned. “Just because a cell responds to a specific category of image doesn’t mean you really understand what it wants,” says Livingstone.

So why not ask the neurons what they want to see?

Read: The human remembering machine

That was the idea behind XDREAM, an algorithm dreamed up by a Harvard student named Will Xiao. Sets of those gray, formless images, 40 in all, were shown to watching monkeys, and the algorithm tweaked and shuffled those that provoked the strongest responses in chosen neurons to create a new generation of pics. Xiao had previously trained XDREAM using 1.4 million real-world photos so that it would generate synthetic images with the properties of natural ones. Over 250 such generations, the synthetic images became more and more effective, until they were exciting their target neurons far more intensely than any natural image. “It was exciting to finally let a cell tell us what it’s encoding instead of having to guess,” says Ponce, who is now at Washington University in St. Louis.

There’s a risk that XDREAM could become a glorified Rorschach test, in which researchers see what they want to see. Is that red splotch really Anthony’s collar? Is the white one really Diane’s masked face? To check, the team used another algorithm to confirm that the synthetic images they saw as face-like really do look more like actual faces than other natural photos. They also showed that the neurons that prompt XDREAM to create face-like motifs themselves respond best to photos of true faces.

I mention to Ponce that XDREAM’s images are really unsettling, as if they’ve been plucked from some deep recess of the uncanny valley. “Yes!” he laughs. “They are!” He thinks they’re so good at stimulating monkey visual neurons that they’re also tickling our cells in a way that makes us feel uncomfortable. If one could use XDREAM on human neurons, “would we find similar images or different, and what would we think of them?” he asks. “At the moment, that’s not something anyone can do. But it makes me wonder.”

Livingstone also wonders whether XDREAM’s disquieting output hints at why so many mythical creatures are exaggerated versions of familiar things. Visual neurons, it seems, like exaggeration: In previous studies, her team showed that face-selective cells will respond more strongly to caricatures than to actual faces. “I think that gargoyles and leprechauns, these archetypes that people imagine … there’s a basis in our brains for them,” she says.

Beyond being weird, the most striking thing about XDREAM’s images is that they’re mostly unrecognizable. The team probed 46 neurons across six monkeys, and a few face-like motifs aside, most of the resulting images were messes of color, texture, and shape, which didn’t fit into obvious buckets. “It is striking that cells that were thought to code for simple objects or object parts may in fact code for much more complex visual stimuli,” says Leyla Isik, a neuroscientist at Johns Hopkins University. “Some may find it unsatisfying that the generated images cannot be described easily in terms of semantic categories. This ‘limitation,’ however, may just be a reality of the complex nature of the primate visual cortex.”

Through these experiments, researchers are learning more not just about the brain itself, but also about how to simulate it. Many neuroscientists have developed artificial neural networks that can analyze images and recognize objects, ostensibly by doing something close to what the brain’s actual visual centers do. But how close?

To find out, Pouya Bashivan at MIT used one such neural network to create images that should, theoretically, stimulate an actual brain in particular ways. His colleagues, Kohitij Kar and James DiCarlo, then showed these synthetic images to monkeys to see whether they worked as predicted.

The results were encouraging, if mixed. The neural network succeeded in fashioning images that would stimulate specific neurons more strongly than natural photos. But it wasn’t as good at another task: exciting one neuron while suppressing all its neighbors. This varied scorecard suggests that the network isn’t yet capturing everything there is to capture about the visual system.

Read: The AI-art gold rush is here

Still, it’s capturing something. Bashivan’s team focused on a region that supposedly responds to simple curves, but the images that his network churned out included grids, lattices, and cinnamon-roll swirls. Much like XDREAM’s hallucinogenic not-quite-faces, these complex images suggest that our understanding of how the brain sees the world is too basic. “If we only go by the intuitions of human researchers, we might get it wrong,” says Bashivan. “We’ll do better if we have models that contain all the knowledge in the field.”

“As biologists, many of us are still skeptical that current neural networks are similar enough to the brain to model it reliably,” Ponce says. But like Bashivan, he thinks that such models are the way forward, and studies such as these will help improve them. “Both approaches are about understanding a black box: the brain,” he says. “Both methods are necessary.”

Источник: https://www.theatlantic.com/science/archive/2019/05/ai-evolved-these-trippy-images-to-please-a-monkeys-neurons/588517/

Geographic Range

Golden monkeys, Rhinopithecus roxellana, live in the mountainous regions of southwestern China, along the Tibetan Plateau. The largest populations are found in the Wolong Natural Reserve in Sichuan Province, but the range of golden monkeys extends as far south as Gansu province.

(Emanoil, 1994; Kirkpatrick, 1995)

Habitat

Rhinopithecus roxellana is found in temperate broad leaf and conifer forests at elevations ranging from 1,600 to 4,000 m above sea level. These monkeys live in mountain forests all year long, but they may migrate to slightly lower elevations during the winter. Golden monkeys and other species in the genus Rhinopithecus are among the few primates who live in temperate zones.

(Emanoil, 1994; Kirkpatrick, 1995; Schaller, 1985)

Physical Description

These monkeys are reported to range from 570 mm to 760 mm in head and body length. The tail is between 510 and 720 mm. Coat color is sexually dimorphic. Males and females have a golden belly, forehead and neck. Males have grayish black on the nape, shoulders, arms, back, head and tail. In females, these parts are brownish black.

The nose is flattened, with nostrils facing forward. Two flaps of skin on the widely opened nostrils form peaks that almost touch the forehead.

(Nowak, 1999)

Reproduction

Within groups, the adult sex ratio of R. roxellana is heavily biased toward females, with a 5:1 ratio observed in some groups. This is consistent with the polygynous social organziation displayed by the monkeys. During the mating season, copulation is usually solicited by the female, who signals her estrus with proceptive behaviors, such as establishing eye contact with the male and then running a short distance away. The female also signals readiness via prostration, which involves lying with the head hanging down, the forearms stretched out or bent, the legs curled up, and the tail angling freely. Often, the prostrating female will point her anogenital region toward the male. The male responds initially with a wide opening of his mouth, and if he is interested (only about 50 percent of the time) he will mount the female. Ejaculation occurs in only a small percentage of the unions during the mating season (and it never occurs outside the mating season). For this reason, the sequence of solicitation and mounting between a male and a female may occur several times a day during the three-month mating period. Due to the scarcity of male ejaculate, a female may try to thwart the solicitation of another female to improve her chances for a successful copulation.

Golden monkeys display mating behavior throughout the year, but they breed on a seasonal basis, with all conceptions taking place within a three-month period. This period may start as early as August or as late as November, depending on the region where the monkeys live.

Once a female becomes pregnant, gestation lasts about seven months, with births occurring between April and August. Usually, one offspring is born.

(Kirckpatrick 1985, Ren et al. 1995, Schaller 1985)

Data are not available on many of the reproductive parameters of these monkeys. However, like-sized primate typically breed every year to two years, depending upon food availability. Weaning usually occurs around one year of age. In R. roxellana nursing may extend for a longer period because of the harsh climate which these animals occupy. Sexual maturity is reported to be at 4 to 5 years of age for females, and at 7 years for males.

Mothers provide most of the care. Males have been observed grooming infants, however. Because of the social structure, which ensures that one male breeds with a group of several females, it is likely that this male, confident of his paternity, assists the females in some ways, by protecting offspring as well as by grooming them. In most primates, the period of dependence is fairly extended, and it is likely that this is the case for R. roxellana.

(Nowak, 1999)

  • altricial
  • pre-fertilization
    • provisioning
    • protecting
  • pre-hatching/birth
    • provisioning
    • protecting
  • pre-weaning/fledging
    • provisioning
    • protecting
  • pre-independence
    • provisioning
    • protecting
  • extended period of juvenile learning

Lifespan/Longevity

Although the lifespan of these monkeys has not been described, individuals in the related species, douc langurs (Pygathrix nameaus) are reported to have lived about 26 years in captivity. (Nowak, 1999)

Behavior

Golden monkeys are highly social animals that display a group behavior known as fission and fusion. This behavior, uncommon in primates, entails a seasonal formation of large groups alternating with a splintering into smaller groups. In the case of R. roxellana, summer groups may contain as many as 600 individuals-- an extraordinary number for any primate except humans. However, when cold weather begins to set in, the large group breaks up into subgroups of 60 to 70 individuals. The subgroups merge again in the spring. Possible factors in this phenomena include human disturbance and seasonal changes in food availability. Generally, subgroups consist of several single-male/multi-female family units, with the total number of individuals rarely falling below 40.

(Kirkpatrick 1995, Tenaza 1988)

Home Range

The typical home range for the species is 15 to 50 square kilometers

Communication and Perception

Golden monkeys are a highly vocal species, with males and females specializing in certain calls. Male vocal behavior is characterized by whines (long, wavering cries that accompany grooming and eating) and bawls (short, exhaled cries that are not situation-specific). Female vocal behavior typically consists of chucks ("ee-tcha" sounds that occur in highly stimulating contexts) and shrills (squeaks and squeals uttered in response to male whines). Both sexes indulge in other vocalizations -- grunts, sighs, moans, belches -- but to a much lesser degree. An interesting aspect of golden monkey vocalizations is the ventriloquist-like absence of any body or facial movement. This is particularly true of whines and shrills, which are often exchanged by males and females while they are eating. Captive male-female pairs of golden monkeys often vocalize in duets, not unlike those observed in some species of monogamous birds. In the wild, chorus-type vocalizations involving groups or sub-groups are common.

(Kirkpatrick 1995, Tenaza 1988)

In addition to vocalizations, these monkeys communicate with body posture (presenting for mating, etc.), and tactile communication (mounting, mating, grooming, nursing). Chemical communication has not been reported, but may be present.

Food Habits

Rhinopithecus roxellana is a largely arboreal species. The diet varies according to the season. During the warm weather months, R. roxellana feeds primarily on leaves from broad-leaf trees and fir and pine needles. Buds, bark, and fruit seeds provide supplementary nutrition. During the winter, however, these monkeys switch to a more limited diet of bark and lichen. Although the species feeds largely from arboreal sources, it will descend to the ground to feed on grasses and wild onions.

(Emanoil, 1994; Kirkpatrick, 1995; Schaller, 1985)

  • leaves
  • wood, bark, or stems
  • seeds, grains, and nuts
  • lichens

Predation

It is not known whether other animals prey upon these primates.

Ecosystem Roles

To the extent that these animals are prey for carnivores, they may play a part in local food webs. It is likely that they affect plant growth through their herbivory.

Economic Importance for Humans: Positive

Golden monkeys are hunted by humans for fur and meat. The fur is sold for medicinal preparations and the meat is sold for food. The illegal trade of golden monkey fur makes insignificant contributions to local economies, however, and the monkey's meat provides little protein for local diets.

(Kirkpatrick 1995)

Economic Importance for Humans: Negative

These animals have no known negative effects on humans.

Conservation Status

Determining the conservation status of these animals is difficult because of the nomenclatural problems associated with them. They are listed by IUCN as vulnerable. CITES lists all Rhinopithecus species on Appendix I. Golden monkeys are also listed as endangered by the U.S. endangered species act.

Golden monkeys are elusive primates which have escaped close, extended study by human scientists. Most research on the species has centered on captive specimens or on limited observations of wild populations. Much about the behavior of these primates is yet to be discovered, which makes conservation all the more essential for this species. Hunting prohibitions are a step in the right direction, but more must be done to prevent further fragmentation of thismonkey's habitat.

Contributors

Nancy Shefferly (editor), Animal Diversity Web.

Peter Munoz (author), University of Michigan-Ann Arbor.

Glossary

acoustic

uses sound to communicate

altricial

young are born in a relatively underdeveloped state; they are unable to feed or care for themselves or locomote independently for a period of time after birth/hatching. In birds, naked and helpless after hatching.

arboreal

Referring to an animal that lives in trees; tree-climbing.

bilateral symmetry

having body symmetry such that the animal can be divided in one plane into two mirror-image halves. Animals with bilateral symmetry have dorsal and ventral sides, as well as anterior and posterior ends. Synapomorphy of the Bilateria.

chemical

uses smells or other chemicals to communicate

drug

a substance used for the diagnosis, cure, mitigation, treatment, or prevention of disease

endothermic

animals that use metabolically generated heat to regulate body temperature independently of ambient temperature. Endothermy is a synapomorphy of the Mammalia, although it may have arisen in a (now extinct) synapsid ancestor; the fossil record does not distinguish these possibilities. Convergent in birds.

folivore

an animal that mainly eats leaves.

food

A substance that provides both nutrients and energy to a living thing.

forest

forest biomes are dominated by trees, otherwise forest biomes can vary widely in amount of precipitation and seasonality.

herbivore

An animal that eats mainly plants or parts of plants.

iteroparous

offspring are produced in more than one group (litters, clutches, etc.) and across multiple seasons (or other periods hospitable to reproduction). Iteroparous animals must, by definition, survive over multiple seasons (or periodic condition changes).

motile

having the capacity to move from one place to another.

mountains

This terrestrial biome includes summits of high mountains, either without vegetation or covered by low, tundra-like vegetation.

native range

the area in which the animal is naturally found, the region in which it is endemic.

oriental

found in the oriental region of the world. In other words, India and southeast Asia.

World Map

polygynous

having more than one female as a mate at one time

seasonal breeding

breeding is confined to a particular season

sexual

reproduction that includes combining the genetic contribution of two individuals, a male and a female

social

associates with others of its species; forms social groups.

tactile

uses touch to communicate

temperate

that region of the Earth between 23.5 degrees North and 60 degrees North (between the Tropic of Cancer and the Arctic Circle) and between 23.5 degrees South and 60 degrees South (between the Tropic of Capricorn and the Antarctic Circle).

terrestrial

Living on the ground.

visual

uses sight to communicate

viviparous

reproduction in which fertilization and development take place within the female body and the developing embryo derives nourishment from the female.

References

Emanoil, Mary ed., 1994. Encyclopedia of Endangered Species. Gale Environmental Library: Detroit, Michigan. xvii, 1230 pp.

Kirkpatrick, R.C., 1995. "The Natural History and Conservation of the Snub-Nosed Monkeys (Genus Rhinopithecus)," Biological Conservation 72: 363-369.

Ren, R., K. Yan, Y. Su, H. Qi, B. Liang, W. Bao, and F.B.M. DeWaal, 1995. "The Reproductive Behavior of Golden Monkeys in Captivity (Rhinopithecus roxellana)," Primates 36 (1): 135-143.

Schaller, R., 1985. "China's Golden Treasure," International Wildlife 15 (1): 29-31.

Nowak, R. 1999. Walker's Mammals of the World, Sixth Edition. Baltimore and London: The Johns Hopkins University Press.

Источник: https://animaldiversity.org/accounts/Rhinopithecus_roxellana/

You Can't Download Monkey From the App Store Anymore, and There's a Good Reason Why

Remember the Monkey app? Monkey first came out in 2016 as way for people (mainly teens) to easily make new friends online. It's similar to Chatroulette, only that Monkey is mobile-first and conversations are timed for 15 seconds. If you and your Monkey pal both consent to more time with each other, you have option to keep chatting.

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Well, Monkey (unsurprisingly) quickly became compromised with sexually explicit content, even though the app creator, Isaiah Turner, had reportedly coded the app to detect inappropriate behavior and flag it immediately. When CNBC reporters tried the app for themselves, they were paired with users who were "engaging in a sexually explicit act" while another user was "showing off his genitals." Yikes.

ariana ava

Source: Ariana.Ava/YouTube

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The founder responded to this test, saying, "I'm sorry that you experienced explicit content. To clarify, however, the machine learning and human monitoring kicks in when a user is reported. The activity is monitored and then if the inappropriate content is confirmed, the user is banned. In the version of Monkey that will launch with iOS11, the machine learning will kick in before the user is even reported. Monkey is taking this seriously and being proactive to solve it." But the damage had already been done.

What exactly happened to the Monkey app?

Monkey is still around and you can download it on Google Play. However, it seems like the Apple store has taken it down (unless you downloaded it before — there's a way you can still access it). Although Apple didn't release a statement about their specific reasoning, they most likely banned Monkey due to the 1,500 reviews in the App Store that mentioned inappropriate behavior minors were exposed to, per the Washington Post. 

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no monkey

Source: Distractify

monkey app

Source: Distractify

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Although Apple had initially changed the settings so that you had to be 17 years or older to download the app (Monkey was able to be downloaded with no age restrictions when it first came out), it seems like they took measures even further. Reddit users have recently brought up the issue, wondering where the app went, and concluding that Apple, which has one of the strictest policies for their apps, must have taken it down because of predatory behavior.

where is monkey reddit

Source: Reddit

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protect children monkey

Source: Reddit

It seems like it's for the best that Monkey isn't as easily accessible. The Washington Post went through all 130,000 reviews at the time and found more than 1,500 reviews "that made mention of uncomfortable sexual situations." One reviewer wrote, "A man who is sick in the head and disgusting decided to show some things that shouldn't have been shown." Another one wrote, "They'd still push for sexual things. Even if I said my real age, like 12 or 13, they'd say that's okay. It made me feel uncomfortable."

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Something as horrifying as both reviews would be considered a no-go for the App Store. One of their policies state that "Overtly sexual or pornographic material, defined by Webster’s Dictionary as 'explicit descriptions or displays of sexual organs or activities intended to stimulate erotic rather than aesthetic or emotional feelings'" is classified as Objectionable Content and has grounds for banning.

The Monkey app recently made an announcement on Instagram.

In response to DMs apparently asking where the app went, the Monkey Instagram account responded on April 20, stating, "We know the quarantine has you stuck at home and bored beyond belief. We're about to announce some exciting news that'll help keep you socially connected and entertained during these uncertain times. Enable Monkey notifications to be the first to find out."

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So, if you're looking to download the Monkey app, you still technically can. But do so at your own risk, since it seems like app's algorithm hasn't caught up to the large amount of predators still using it. 

Источник: https://www.distractify.com/p/what-happened-to-the-monkey-app

Elon Musk’s Neuralink explains how a monkey used its brain-computer tech to play Pong

In August, Neuralink conducted a live demo of its technology on three pigs. An audience was shown real-time neural signals from one of the pigs, which Musk named Gertrude.

Headquartered in San Francisco, Neuralink ultimately wants to increase the rate at which information can flow from the human brain to a machine.

While the technology is still in its infancy, Neuralink hopes that its devices will soon allow paralyzed humans to use their minds to operate machines.

On Thursday, Musk said the first Neuralink product will allow a paralyzed human to use a smartphone with their mind faster than someone using their thumbs.

AI is only going to get smarter and Neuralink's technology could one day allow humans to "go along for the ride," Musk said in an interview on Clubhouse in January.

To illustrate the pace of progress in AI, the innovator — who believes that machine intelligence will eventually surpass human intelligence — pointed to breakthroughs made at research labs like OpenAI, which he co-founded, and DeepMind, a London AI lab that was acquired by Google in 2014. DeepMind has "run out of games to win at basically," said Musk, who was an early investor in the company.

People are in effect already "cyborgs" because they have a tertiary "digital layer" thanks to phones, computers and applications, according to Musk.

"With a direct neural interface, we can improve the bandwidth between your cortex and your digital tertiary layer by many orders of magnitude," he said. "I'd say probably at least 1,000, or maybe 10,000, or more."

The digital layer he refers to could be anything from a person's iPhone to their Twitter account.

Long term, Musk claims that Neuralink could allow humans to send concepts to one another using telepathy and exist in a "saved state" after they die that could then be put into a robot or another human. He acknowledged that he was delving into sci-fi territory.

Источник: https://www.cnbc.com/2021/04/09/elon-musks-neuralink-shows-video-of-monkey-using-mind-to-play-pong.html

New long-tailed monkey discovered in Amazon

A new monkey subspecies with quite a long tail has been discovered in a remote region of the Amazon in Brazil.

The monkey is mostly gray and dark brown in color, with a distinctly mottled "saddle." It weighs somewhat less than a pound (213 grams) and is 9 inches (240 millimeters) tall with a foot-long (320 millimeter) tail.

The little primate is related to saddleback tamarins, which include several species of monkeys known for their distinctively marked backs. The newly described distinct subspecies, announced today, was first seen by scientists on a 2007 expedition into the state of Amazonas in northwestern Brazil.

Researchers have dubbed the monkey Mura's saddleback tamarin (saguinus fuscicollis mura) named after the Mura Indians, the ethnic group of Amerindians of the Purus and Madeira river basins where the monkey occurs. Historically this tribe was spread through the largest territory of any of the Amazonian Indigenous peoples, extending from the Peruvian frontier today (Rio Yavari) east to the Rio Trombetas.

The monkey's discovery was published in the June online edition of the International Journal of Primatology. Authors of the study include Fabio Röhe of the Wildlife Conservation Society (WCS), José de Sousa e Silva Jr. of Museu Paraense Emílio Goeldi, Ricardo Sampaio of the Instituto Nacional de Parquisas de Amaozônia, and Anthony B. Rylands of Conservation International.

The monkey is threatened by several planned development projects in the region, particularly a major highway cutting through the Amazon that is currently being paved, Röhe said. Conservationists fear the highway could fuel wider deforestation in the Amazon over the next two decades. Other threats to the region include a proposed gas pipeline and two hydroelectric dams currently in the beginning stages of construction.

"This newly described monkey shows that even today there are still major wildlife discoveries to be made," said Röhe, the study's lead author. "This discovery should serve as a wake-up call that there is still so much to learn from the world's wild places, yet humans continue to threaten these areas with destruction."

The Wildlife Conservation Society helped establish the Mamirauá, Amanã, and Piagaçu-Purus Sustainable Development Reserves in Brazil, which represent some of the largest protected blocks of rainforest on the planet.

WCS researchers have discovered several new monkey species in recent years: the Arunachal macaque, discovered in India in late 2004; and the Madidi monkey and Kipunji discovered in Bolivia and Tanzania respectively in 2005. In 2008, Jean Boubli, who now works for WCS, discovered a new species of uakari monkey in the Amazon.

The GEOMA project at the Ministry of Science and Technology of Brazil helped to support the project that led to the discovery of the monkey.

Источник: https://www.nbcnews.com/id/wbna31786460

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No additional cost

Image upload

No additional cost

No additional cost

The difference in Cost.

1. Gender & Age Selection

Pollfish is committed to offering the most advanced targeting criteria we can for your survey at a fair price. For example, we don’t change pricing for certain genders or age ranges. Expect a set price for using Gender and Age quotas, regardless of the respondents you select.

2. Quotas on Screening Question

IIn addition to targeting quotas we are supporting quotas to every screening question as well for 50 cents each.

Create a survey

Pollfish Survey Question Types

SurveyMonkey Audience

Number of Questions

Up to 50

Up to 50

Number of screening questions

3

Upgrade to a paid plan required

Skip logic

Upgrade to a paid plan required

Randomize answers

Matrix question type

Rating scale

slider

NPS

Randomize answers

image

video

Video may be added to all question types

Video may be added to some question types

The difference in Questionnaire.

1. Ask Another Way

We offer access to advanced survey question types like multiple matrix questions, randomized choice order and skip logic without having to upgrade to a subscription plan.

2. Into The Matrix

Matrix questions are powerful—they allow you to survey perception of your users across a broad number of choices to gauge opinion. But they can be expensive when each option is charged as a single question. Pollfish uses transparent pricing and charges matrix questions as 1 question, giving you the ability to take advantage of this powerful question type.

Create a survey

Pollfish Support

SurveyMonkey Audience

24/7 Live Support

24/7 Phone Support

Available on Premium Paid Plan

Survey Creation Counseling

Available on Premium Paid Plan

Credit Card Billing

Survey templates

Question Bank

The difference in Support.

1. Support on your Schedule

Pollfish offers live 24/7 support so you can get the help you need on your schedule. Reach a real person at any time, or even hire an expert for white-glove survey creation assistance.

2. Call Anytime

When you are stuck setting up your survey, you may want to speak to a real person. That’s why, in addition to 24/7 Live Support, we offer Phone Support at all plan levels.

3. Survey Creation Guidance

Creating surveys can be challenging. From question selection to incidence rate and margin of error, it can be hard to know how effective your survey will be before you begin. That’s why we have a support team available to walk through your survey with you and ensure you are following best practices. We’re here for you every step of the way.

Create a survey

*Note that the following comparison was updated on 5/5/20 to reflect changes in pricing, data and feature sets. If you believe there has been a factual error, please email marketing(at)pollfish.com.

1. Create your survey

Use our advanced targeting options to reach your specific target audience .

Target by age, gender and demographic criteria such as Household Income or Marital Status, among others.

Build your Questionnaire

Design your survey questions using features like survey skip logic, randomization of answers, open-ended, image, video and NPS question types on an easy self-service platform.

Review your survey

Our expert team will examine your survey questions closely and provide feedback on both your survey design and methodology.

2. Get the responses you need from your ideal respondents.

We partner with thousands of high-quality apps, worldwide, to ensure that we have access to a variety of survey respondents for every type of survey.

Our network is global and growing every day to provide larger and more relevant target audiences to our clients.

3. Get results, fast.

Send your survey and let the real-time results roll in. We do all the work, updating your Dashboard in real time.

Export your raw data at the click of a button, or share a graph in your presentation. Analyze and quantify responses with the SPSS-friendly file provided with each survey.

Источник: https://www.pollfish.com/compare/survey-monkey-audience-alternative/

SurveyMonkey Audience Alternative

Starting from $0.95 per completed what region is monkey app available in response

Pollfish Survey Targeting Capabilities

SurveyMonkey Audience

Number of Completed responses

Unlimited

Ability to view up to 100 responses on the Basic plan

Age range

Gender

country

region

Select Countries

state

Select Countries

city

Select Countries

Target By Screening Question

Not available on the BASIC plan

Marital status

Number of children

education

employment

career

race

household income

US Postal Code

US Census Region

US Census Division

US Congressional District

US DMA®

mobile device manufacturer

Partial ability

os platform

Targeted locations

160 countries

106 countries

type of audience reached

Random, Opt-in

Panel

quotas

On every targeting option

The difference in Targeting.

1. Real Consumers

The Pollfish Survey Tool provides access to real consumers in 160 countries, 345 cities—who have already opted-in to take mobile surveys. Because our app partners enable us to offer appropriate in-app rewards, we save money on responses (and pass those savings on to you).

2. Radius Targeting

Pollfish tracks down to the City, postal code or even Congressional District of our respondents. We even offer a radius targeting capability to select a spot on the map and field your survey to a geographic location.

3. Get Screening Questions

Screening questions are powerful. They offer more layers to a platform’s targeting capabilities to allow you to reach consumers with specific preferences, behaviors, or beliefs. For example, if you wanted to only connect with people who have tried your product before, you can screen out those who are unfamiliar at the beginning. Pollfish offers this powerful feature on all of our plans, not just subscriptions.

Create a survey

Pollfish Survey Cost Breakdown

SurveyMonkey Audience

Cost Per Completed Survey / 1-5 Questions

$0.95 per completed survey

$0.95 per completed survey

Cost Per Completed Survey / 6-10 Questions

$1 per completed survey

$1.50 per completed survey

Cost Per Completed Survey / 11-15 Questions

$1.00

$2.00

Cost Per Completed Survey / 16-20 Questions

$1.25

$2.50

Cost Per Completed Survey / 21-25 Questions

$1.50

$2.50

Cost Per Completed Survey / 26-30 Questions

$2.00

$2.50

Cost Per Completed Survey / 31-35 Questions

$2.50

$4.00

Cost Per Completed Survey / 36-40 Questions

$3.00

$4.00

Cost Per Completed Survey / 41-45 Questions

$3.50

$5.00

Cost Per Completed Survey / 46-50 Questions

$4.00

$5.00

Screening question pricing

+ $0.5 per completed survey

+ $0.5 in addition to paid plan membership

Gender Selection

+ $0.5 per completed survey

+ $1 - $1.5 per completed survey

Age range selection

+ $0.5 - $1 per completed survey

+ $0.75 per completed survey

Video

No additional cost

No additional cost

Image upload

No additional cost

No additional cost

The difference in Cost.

1. Gender & Age Selection

Pollfish is committed to offering the most advanced what region is monkey app available in criteria we can for your survey at a fair price. For example, we don’t change pricing for certain genders or age ranges. Expect a set price for using Gender and Age quotas, regardless of the respondents you select.

2. Quotas on Screening Question

IIn addition to targeting quotas we what region is monkey app available in supporting quotas to every screening question as well for 50 cents each.

Create a survey

Pollfish Survey Question Types

SurveyMonkey Audience

Number of Questions

Up to 50

Up to 50

Number of screening questions

3

Upgrade to a paid plan required

Skip logic

Upgrade to a paid plan required

Randomize answers

Matrix question type

Rating scale

slider

NPS

Randomize answers

image

video

Video may be added to all question types

Video may be added to some question types

The difference in Questionnaire.

1. Ask Another Way

We offer access to advanced survey question types like multiple matrix questions, randomized choice order and skip logic without having to upgrade to a subscription plan.

2. Into The Matrix

Matrix questions are powerful—they allow you to survey perception what region is monkey app available in your users across a broad number of choices to gauge opinion. But they can be expensive when each option is charged as a single question. Pollfish uses transparent pricing and charges matrix questions as 1 question, giving you the ability to take advantage of this powerful question type.

Create a survey

Pollfish Support

SurveyMonkey Audience

24/7 Live Support

24/7 Phone Support

Available on Premium Paid Plan

Survey Creation Counseling

Available on Premium Paid Plan

Credit Card Billing

Survey templates

Question Bank

The difference in Support.

1. Support on your Schedule

Pollfish offers live 24/7 support so you can get the help you need on your schedule. Reach a real person at any time, or even hire an expert for white-glove survey creation assistance.

2. Call Anytime

When you are stuck setting up your survey, you may want to speak to a real person. That’s why, in addition to 24/7 Live Support, we offer Phone Support at all plan levels.

3. Survey Creation Guidance

Creating surveys can be challenging. From question selection to incidence rate and margin of error, it can be hard to know how effective your survey will be before you begin. That’s why we have a support team available to walk through your survey with you and ensure you are following best practices. We’re here for you every step of the way.

Create a survey

*Note that the following how to use pnc mobile to verify apple pay was updated on 5/5/20 to reflect changes in pricing, data and feature sets. If you believe there has been a factual error, please email marketing(at)pollfish.com.

1. Create your survey

Use our advanced targeting options to reach your specific target audience.

Target by age, gender account number for walmart money card demographic criteria such as Household Income or Marital Status, among others.

Build your Questionnaire

Design your survey questions using features like survey skip logic, randomization of answers, open-ended, image, video and NPS question types on an easy self-service platform.

Review your survey

Our expert team will examine your survey questions closely and provide feedback on both your survey design and methodology.

2. Get the responses you need from your ideal respondents.

We partner with thousands of high-quality apps, worldwide, to ensure that we have access to a variety of survey respondents for every type of survey.

Our network is global and growing every day to provide larger and more relevant target audiences to our clients.

3. Get results, fast.

Send your survey and let the real-time results roll in. We do all the work, updating your Dashboard in real time.

Export your raw data at the click of a button, or share a graph what region is monkey app available in your presentation. Analyze and quantify responses with the SPSS-friendly file provided with each survey.

Источник: https://www.pollfish.com/compare/survey-monkey-audience-alternative/

You Can't Download Monkey From the App Store Anymore, and There's a Good Reason Why

Remember the Monkey app? Monkey first came out in 2016 as way for people (mainly teens) to easily make new friends online. It's similar to Chatroulette, only that Monkey is mobile-first and conversations are timed for 15 seconds. If you and your Monkey pal both consent to more time with each other, you have option to keep chatting.

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Well, Monkey (unsurprisingly) quickly became compromised with sexually explicit content, even though the app creator, Isaiah Turner, had reportedly coded the app to detect inappropriate behavior and flag it immediately. When CNBC reporters tried the app for themselves, they were paired with users who were "engaging in a sexually explicit act" while another user was "showing off his genitals." Yikes.

ariana ava

Source: Ariana.Ava/YouTube

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The founder responded to this test, saying, "I'm sorry that you experienced explicit content. To clarify, however, the machine learning and human monitoring kicks in when a user is reported. The activity is monitored and then if the inappropriate content is confirmed, the user is banned. In the version of Monkey that will launch with iOS11, the machine learning will kick in before the user is even reported. Monkey is taking this seriously and being proactive to solve it." But the damage had already been done.

What exactly happened to the Monkey app?

Monkey is still around and you can download it on Google Play. However, it seems like the Apple store has taken it down (unless you downloaded it before — there's a way you can still access it). Although Apple didn't release a statement about their specific reasoning, they most likely banned Monkey due to the 1,500 reviews in the App Store that mentioned inappropriate behavior minors were exposed to, per the Washington Post. 

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Source: Distractify

monkey app

Source: Distractify

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Although Apple had initially changed the settings so that you had to be 17 years or older what region is monkey app available in download the app (Monkey was able to be downloaded with no age restrictions when it first came out), it seems like they took measures even further. Reddit users have recently brought up the issue, wondering where the app went, and concluding that Apple, which has one of the strictest policies for their apps, must have taken it down because of predatory behavior.

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Source: Reddit

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Source: Reddit

It seems like it's for the best that Monkey isn't as easily accessible. The Washington Post went through all 130,000 reviews at the time and found more than 1,500 reviews "that made mention of uncomfortable sexual situations." One reviewer wrote, "A man who is sick in the head and disgusting decided to show some things that shouldn't have been shown." Another one wrote, "They'd still push for sexual things. Even if I said my real age, like 12 or 13, they'd say that's okay. It made me feel uncomfortable."

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Something as horrifying as both reviews would be considered a no-go for the App Store. One what region is monkey app available in their policies state that "Overtly sexual or pornographic material, defined by Webster’s Dictionary as 'explicit descriptions or displays of sexual organs or activities intended to stimulate erotic rather than aesthetic or emotional feelings'" is classified as Objectionable Content and has grounds for banning.

The Monkey app recently made an announcement on Instagram.

In response to DMs apparently asking where the app went, the Monkey Instagram account responded on April 20, stating, "We know the quarantine has you stuck at home and bored beyond belief. We're about to announce some exciting news that'll help keep you socially connected and entertained during these wells fargo mortgage online sign in times. Enable Monkey notifications to be the first to find out."

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So, if you're looking to download the Monkey app, you still technically can. But do so at your own risk, since it seems like app's algorithm hasn't caught up to the large amount of predators still using it. 

Источник: https://www.distractify.com/p/what-happened-to-the-monkey-app

Super Monkey Ball Banana Mania

Available now

Go Bananas with your favorite monkey gang in the ultimate Super Monkey Ball adventure!

Roll through wondrous worlds with AiAi and friends as you race to stop monkey mad scientist Dr. Bad-Boon from blowing up Jungle Island! Join the all-star monkey team of AiAi, MeeMee, GonGon, Baby, YanYan and Doctor as you bounce, tilt, and roll your way across hundreds of delightfully crafted levels and mazes. It’s monkey business for the gang as you take down Dr. Bad-Boon and steal back your beloved bananas!

Features:
• The ultimate Super Monkey Ball Experience – More than 300 stages from Super Monkey Ball, Super Monkey Ball 2 and Super Monkey Ball Deluxe.
• Go Bananas with 12 fun minigames including Monkey Racing, Monkey Soccer, Monkey Bowling, Monkey Baseball and much more!
• Challenge your friends as you compete for top banana on the online leaderboards!
• Immerse yourself in the Super Monkey Ball world with creative comic book-style story telling in Story Mode.
• Want to be the coolest monkey on the block? Customize your character and Super Monkey Ball to make it your own!

Release date:
October 05, 2021

Players:
up to 4 players

Genre:
Arcade, Party, Platformer, Multiplayer

Publisher:
Sega

Developer:
Sega

Game file size:
3.1 GB

Supported Languages:
French, German, Italian, Spanish, English

Supported Play Modes:
TV mode

TV mode

Tabletop mode

Tabletop mode

Handheld mode

Handheld mode

Software compatibility and play experience may differ on Nintendo Switch Lite. Additional accessories may be required (sold separately). See support for details.

ESRB Rating:

Nintendo Switch Online

Play online, access classic Super NES™ games, and more with a Nintendo Switch Online membership.

Game and DLC bundle

*MSRP: Manufacturer's Suggested Retail Price. Actual price may vary. See retailer for details. bank northwest hamilton mo

A Nintendo Switch Online membership (sold separately) is required for Save Data Cloud backup.

©SEGA. All rights reserved. SEGA is registered in the U.S. Patent and Trademark Office. SEGA, the SEGA logo, SUPER MONKEY BALL, and SUPER MONKEY BALL BANANA MANIA are either registered trademarks or trademarks of SEGA CORPORATION. All other trademarks, logos and copyrights are property of their respective owners.

Источник: https://www.nintendo.com/games/detail/super-monkey-ball-banana-mania-switch/

Extras

Supplemental Slack info for you and your team.

There are a few ways to quickly survey your teammates in Slack. You can add a polling app to your workspace, or for quick and informal polls, you can use emoji reactions. Read on to learn how to create a poll in Slack.

 

The Slack App Directory offers several apps that help you poll members and collect feedback quickly. Apps like Polly, Simple Poll, Survey Monkey, and more are available to use in Slack. With a number of different polling features available — like anonymity, hidden results, scheduling, reminders, event-triggered surveys, and templates — check out App Directory to find an app that suits your needs.

Using emoji reactions, you can easily poll your teammates with a Slack message. In your message, set up your poll by choosing an emoji for each option people can vote on. Once you send your message, people can centurylink bill pay mailing address a reaction to your message using one of the emoji you selected. Whichever option has the most reactions is the winner!

Message in Slack requesting teammates to vote on a poll, with emoji reactions added for each option

Awesome!

Thanks so much for your feedback!

If you’d like a member of our support team to respond to you, please send a note to feedback@slack.com.

Got it!

If you’d like a member of our support team to respond to you, please send a note to feedback@slack.com.

If you’d like a member of our support team to respond to you, please send a note to feedback@slack.com.

Oops! We're having trouble. Please try again later!

Источник: https://slack.com/help/articles/229002507-Create-a-poll-in-Slack

Geographic Range

Golden monkeys, Rhinopithecus roxellana, live in the mountainous regions of southwestern China, along the Tibetan Plateau. The largest populations are found in the Wolong Natural Reserve in Sichuan Province, but the range of golden monkeys extends as far south as Gansu province.

(Emanoil, 1994; Kirkpatrick, 1995)

Habitat

Rhinopithecus roxellana is found in temperate broad leaf and conifer forests at elevations ranging from 1,600 to 4,000 m above sea level. These monkeys live in mountain forests all year long, but they may migrate to slightly lower elevations during the winter. Golden monkeys and other species in the genus Rhinopithecus are among the few primates who live in temperate zones.

(Emanoil, 1994; Kirkpatrick, 1995; Schaller, 1985)

Physical Description

These monkeys are reported to range from 570 mm to 760 mm in head and body length. The tail is between 510 and 720 mm. Coat color is sexually dimorphic. Males and females have a golden belly, forehead and neck. Males have grayish black on the nape, shoulders, arms, back, head and tail. In females, these parts are brownish black.

The nose is flattened, with nostrils facing forward. Two flaps of skin on the widely opened nostrils form peaks that almost touch the forehead.

(Nowak, 1999)

Reproduction

Within groups, the adult sex ratio of R. roxellana is heavily biased toward females, with a 5:1 ratio observed in some groups. This is consistent with the polygynous social organziation displayed by the monkeys. During the mating season, copulation is usually solicited by the female, who signals her estrus with proceptive behaviors, such as establishing eye contact with the male and then running a short distance away. The female also signals readiness via prostration, which involves lying with the head hanging down, the forearms stretched out or bent, the legs curled up, and the tail angling freely. Often, the prostrating female will point her anogenital region toward the male. The male responds initially with a wide opening of his mouth, and if he what region is monkey app available in interested (only about 50 percent of the time) he will mount the female. Ejaculation occurs in only a small percentage of the unions during the mating season (and it never occurs outside the mating season). For this reason, the sequence of solicitation and mounting between a male and a female may occur several times a day during the three-month mating period. Due to the scarcity of male ejaculate, a female may try to thwart the solicitation of another female to improve her chances for a successful copulation.

Golden monkeys display mating behavior throughout the year, but they breed on a seasonal basis, with all conceptions taking place within a three-month period. This period may start as early as August or as late as November, depending on the region where the monkeys live.

Once a female becomes pregnant, gestation lasts about seven months, with births occurring between April and August. Usually, one offspring is born.

(Kirckpatrick 1985, Ren et al. 1995, Schaller 1985)

Data are not available on many of the reproductive parameters of these monkeys. However, like-sized primate typically breed every year to two years, depending upon food availability. Weaning usually occurs around one year of age. In R. roxellana nursing may extend for a longer period because of the harsh climate which these animals occupy. Sexual maturity is reported to be at 4 to 5 years of age for females, and at 7 years for males.

Mothers provide most of the care. Males have been observed grooming infants, however. Because of the social structure, which ensures that one male breeds with a group of several females, it is likely that this male, confident of his paternity, assists the females in some ways, by protecting offspring as well as by grooming them. In most primates, the period of dependence is fairly extended, and it is likely that this is the case for R. roxellana.

(Nowak, 1999)

  • altricial
  • pre-fertilization
    • provisioning
    • protecting
  • pre-hatching/birth
    • provisioning
    • protecting
  • pre-weaning/fledging
    • provisioning
    • protecting
  • pre-independence
    • provisioning
    • protecting
  • extended period of juvenile learning

Lifespan/Longevity

Although the lifespan of these monkeys has not been described, individuals in the related species, douc langurs (Pygathrix nameaus) are reported to have lived about 26 years in captivity. (Nowak, 1999)

Behavior

Golden monkeys are highly social animals that display a group behavior known as fission and fusion. This behavior, uncommon in primates, entails a seasonal formation of large groups alternating with a splintering into smaller groups. In the case of R. roxellana, summer groups may contain as many as 600 individuals-- an extraordinary number for any primate except humans. However, when cold weather begins to what region is monkey app available in in, the large group breaks up into subgroups of 60 to 70 individuals. The subgroups merge again in the spring. Possible factors in this phenomena include human disturbance and seasonal changes in food availability. Generally, subgroups consist of several single-male/multi-female family units, with the total number of individuals rarely falling below 40.

(Kirkpatrick 1995, Tenaza 1988)

Home Range

The typical home range for the species is 15 to 50 square kilometers

Communication and Perception

Golden monkeys are a highly vocal species, with males and females specializing in certain calls. Male vocal behavior is characterized by whines (long, wavering cries that accompany grooming and eating) and bawls (short, exhaled cries that are not situation-specific). Female vocal behavior typically consists of chucks ("ee-tcha" sounds that occur in highly stimulating contexts) and shrills (squeaks and squeals uttered in response to male whines). Both sexes indulge in other vocalizations -- grunts, sighs, moans, belches -- but to a much lesser degree. An interesting aspect of golden monkey vocalizations is the ventriloquist-like absence of any body or facial movement. This is particularly true of whines and shrills, which are often exchanged by males and females while they are eating. Captive male-female pairs of golden monkeys often vocalize in duets, not unlike those observed in some species of monogamous birds. In the wild, chorus-type vocalizations involving groups or sub-groups are common.

(Kirkpatrick 1995, Tenaza 1988)

In addition to vocalizations, these monkeys communicate with body posture (presenting for mating, etc.), and tactile communication (mounting, mating, grooming, nursing). Chemical communication has not been reported, but may be present.

Food Habits

Rhinopithecus roxellana is a largely arboreal species. The diet varies according to the season. During the warm weather months, R. roxellana feeds primarily on leaves from broad-leaf trees and fir and pine needles. Buds, bark, and fruit seeds provide supplementary nutrition. During the winter, however, these monkeys switch to a more limited diet of bark and lichen. Although the species feeds largely from arboreal sources, it will descend to the ground to feed on grasses and wild onions.

(Emanoil, 1994; Kirkpatrick, 1995; Schaller, 1985)

  • leaves
  • wood, bark, or stems
  • seeds, grains, and nuts
  • lichens

Predation

It is not known whether other animals prey upon these primates.

Ecosystem Roles

To the extent that these animals are prey for carnivores, they may play a part in local food webs. It is likely that they affect plant growth through their herbivory.

Economic Importance for Humans: Positive

Golden monkeys are hunted by humans for fur and meat. The fur is sold for medicinal preparations and the meat is sold for food. The illegal trade of golden monkey fur makes insignificant contributions to local economies, however, and the monkey's meat provides little protein for local diets.

(Kirkpatrick 1995)

Economic Importance for Humans: Negative

These animals have no known negative effects on humans.

Conservation Status

Determining the conservation status of these animals is difficult because of the nomenclatural problems associated with them. They are listed by IUCN as vulnerable. CITES lists all Rhinopithecus species on Appendix I. Golden monkeys are also listed as endangered by the U.S. endangered species act.

Golden monkeys are elusive primates which have escaped close, extended study by human scientists. Most research on the species has centered on captive specimens or on limited observations of wild populations. Much about the behavior of these primates is yet to be discovered, which makes conservation all the more essential for this species. Hunting prohibitions are a step in the right direction, but more must be done to prevent further fragmentation of thismonkey's habitat.

Contributors

Nancy Shefferly (editor), Animal Diversity Web.

Peter Munoz (author), University of Michigan-Ann Arbor.

Glossary

acoustic

uses sound to communicate

altricial

young are born in a relatively underdeveloped state; they are unable citizens bank of kansas routing number feed or care for themselves or locomote independently for a period of time after birth/hatching. In birds, naked and helpless after hatching.

arboreal

Referring to an animal that lives in trees; tree-climbing.

bilateral symmetry

having body symmetry such that the animal can be divided in one plane into two mirror-image halves. Animals with bilateral symmetry have dorsal and ventral sides, as well as anterior and posterior ends. Synapomorphy of the Bilateria.

chemical

uses smells or other chemicals to communicate

drug

a substance used for the diagnosis, cure, mitigation, treatment, or what region is monkey app available in of disease

endothermic

animals that use metabolically generated heat to regulate body temperature independently of ambient temperature. Endothermy is a synapomorphy of the Mammalia, although it may have arisen in a (now extinct) synapsid ancestor; the fossil record does not distinguish these possibilities. Convergent in birds.

folivore

an animal that mainly eats leaves.

food

A substance that provides both nutrients and energy to a living thing.

forest

forest biomes are dominated by trees, otherwise forest biomes pnc bank branches erie pa vary widely in amount of precipitation and seasonality.

herbivore

An animal that eats mainly plants or parts of plants.

iteroparous

offspring are produced in more than one group (litters, clutches, etc.) and across multiple seasons (or other periods hospitable to reproduction). Iteroparous animals must, by definition, survive over multiple seasons (or periodic condition changes).

motile

having the capacity to move from one place to another.

mountains

This terrestrial biome includes summits of high mountains, either without vegetation or covered by low, tundra-like vegetation.

native range

the area in which the animal is naturally found, the region in which it is endemic.

oriental

found in the oriental region of the world. In other words, India and southeast Asia.

World Map

polygynous

having more than one female as a mate at one time

seasonal breeding

breeding is confined to a particular season

sexual

reproduction that includes combining the genetic contribution of two individuals, a male and a female

social

associates with others of its species; forms social groups.

tactile

uses touch to communicate

temperate

that region of the Earth between 23.5 degrees North and 60 degrees North (between the Tropic of Cancer and the Arctic Circle) and between 23.5 degrees South and 60 degrees South (between the Tropic of Capricorn and the Antarctic Circle).

terrestrial

Living on the ground.

visual

uses sight to communicate

viviparous

reproduction in which fertilization and development take place within the female body and the developing embryo derives nourishment from the female.

References

Emanoil, Mary ed., 1994. Encyclopedia of Endangered Species. Gale Environmental Library: Detroit, Michigan. xvii, 1230 pp.

Kirkpatrick, R.C., 1995. "The Natural History and Conservation of the Snub-Nosed Monkeys (Genus Rhinopithecus)," Biological Conservation 72: 363-369.

Ren, R., K. Yan, Y. Su, H. Qi, B. Liang, W. Bao, and F.B.M. DeWaal, 1995. "The Reproductive Behavior of Golden Monkeys in Captivity (Rhinopithecus roxellana)," Primates 36 (1): 135-143.

Schaller, R., 1985. "China's Golden Treasure," International Wildlife 15 (1): 29-31.

Nowak, R. 1999. Walker's Mammals of the World, Sixth Edition. Baltimore and London: The Johns Hopkins University Press.

Источник: cadence bank philadelphia ms

AI Evolved These Creepy Images to Please a Monkey’s Brain

What happens when an algorithm can ask neurons what they want to see?

By Ed What region is monkey app available in alt="Images produced by XDREAM" src="https://cdn.theatlantic.com/thumbor/DuhRo_1D9nf7T3KEnFBxdyzaCik=/0x43:1002x607/960x540/media/img/mt/2019/05/Webp.net_resizeimage_1/original.jpg" width="960" height="540">

In April 2018, a monkey named Ringo sat in a Harvard lab, sipping juice, while strange images flickered in front of his eyes. The pictures were created by an artificial-intelligence algorithm called XDREAM, which gradually tweaked them to stimulate one particular neuron in Ringo’s brain, in a region that’s supposedly specialized for recognizing faces. As the images evolved, the neuron fired away, and the team behind XDREAM watched from a nearby room.

At first, the pictures were gray and formless. But as time passed, “from this haze, something started staring back at us,” says the neuroscientist Carlos Ponce. Two black dots with a black line beneath them, all against a pale oval. A face, albeit an abstracted one. Soon a red patch appeared next to it, which reminded the watching researchers of the red collar worn by a monkey who lives in the cage opposite Ringo’s. “We all looked at it and said, ‘Oh, that’s Anthony,’” says Margaret Livingstone, a neuroscientist at Harvard Medical School.

“And then, a few days later, we evolved Diane,” she adds. Diane is one of the monkeys’ caretakers, who feeds them while wearing blue scrubs and a white face mask. And when the team hooked XDREAM up to another of the monkey’s visual neurons, it produced a distorted image of a face in a white mask.

XDREAM’s images look like glitchy Kandinsky paintings viewed during a bad trip. You really wouldn’t want to hang them on your wall. But each one is close to the ideal stimulus for a particular neuron. And collectively, they tell us something interesting about how our brain makes sense of the world, and how much we still don’t understand about that process. “If cells are dreaming, [these images] are what the cells are dreaming about,” says Ponce. “It exposes the visual vocabulary of the brain, in a way www mysynchrony com account pay online html unbiased by our anthropomorphic perspective.”

The first hints of that vocabulary emerged in 1962, when Torsten Wiesel and David Hubel showed that specific neurons in the brain’s visual centers are tuned to specific stimuli—lights moving in particular directions, or lines aligned in particular ways. Since then, other neuroscientists have identified neurons that respond to colors, curvatures, faces, hands, and outdoor scenes. But here’s the catch: Those scientists always chose which kinds of shape to test, and their intuition might not reflect the actual stimuli to which the neurons are attuned. “Just because a cell responds to a specific category of image doesn’t mean you really understand what it wants,” says Livingstone.

So why not ask the neurons what they want to see?

Read: The human remembering machine

That was the idea behind XDREAM, an algorithm dreamed up by a Harvard student named Will Xiao. Sets of those gray, formless images, 40 in all, were shown to watching monkeys, and the algorithm tweaked and shuffled those that provoked the strongest responses in chosen neurons to create a new generation of pics. Xiao had previously trained XDREAM using 1.4 million real-world photos so that it would generate synthetic images with the properties of natural ones. Over 250 such generations, the synthetic images became more and more effective, until they were exciting their target neurons far more intensely than any natural image. “It was exciting to finally let a cell tell us what it’s encoding instead of having to guess,” says Ponce, who is now at Washington University in St. Louis.

There’s a risk that XDREAM could become a glorified Rorschach test, in which researchers see what they want to see. Is that red splotch really Anthony’s collar? Is the white one really Diane’s masked face? To check, the team used another algorithm to confirm that the synthetic images they saw as face-like really do look more like actual faces than other natural photos. They also showed that the neurons that prompt XDREAM to create face-like motifs themselves respond best to photos of true faces.

I mention to Ponce that XDREAM’s images are really unsettling, as if they’ve been plucked from some deep recess of the uncanny valley. “Yes!” he laughs. “They are!” He thinks they’re so good at stimulating monkey visual neurons that they’re also tickling our cells in a way that makes us feel uncomfortable. If one could use XDREAM on human neurons, “would we find similar images or different, investment banking league tables what would we think of them?” he asks. “At the moment, that’s not something anyone can do. But it makes me wonder.”

Livingstone also wonders whether XDREAM’s disquieting output hints at why so many mythical creatures are exaggerated versions of familiar things. Visual neurons, it seems, like exaggeration: In previous studies, her team showed that face-selective cells will respond more strongly to caricatures than to actual faces. “I think that gargoyles and leprechauns, these archetypes that people imagine … there’s a basis in our brains for them,” she says.

Beyond being weird, the most striking thing about XDREAM’s images is that they’re mostly unrecognizable. The team probed 46 neurons across six monkeys, and a few face-like motifs aside, most of the resulting images were messes of color, texture, and shape, which didn’t fit into obvious what region is monkey app available in. “It is striking that cells that were thought to code for simple objects or object parts may in fact code for much more complex visual stimuli,” says Leyla Isik, a neuroscientist at Johns Hopkins University. “Some may find it unsatisfying that the generated images cannot be described easily in terms of semantic categories. This ‘limitation,’ however, may just be a reality of the complex nature of the primate visual cortex.”

Through these experiments, researchers are learning more not just about the brain itself, but also about how to simulate it. Many neuroscientists have developed artificial neural networks that can analyze images and recognize objects, ostensibly by doing something close to what the brain’s actual visual centers do. But how close?

To find out, Pouya Bashivan at MIT used one such neural network to create images that should, theoretically, stimulate an actual brain in particular ways. His colleagues, Kohitij Kar and James DiCarlo, then showed these synthetic images to monkeys to see whether they worked as predicted.

The results were encouraging, if mixed. The neural network succeeded in fashioning images that would stimulate specific neurons more strongly than natural photos. But it wasn’t as good at another task: exciting one how to register internet banking in icici while suppressing all its neighbors. This varied scorecard suggests that the network isn’t yet capturing everything there is to capture about the visual system.

Read: The AI-art gold rush is here

Still, it’s capturing something. Bashivan’s team focused on a region that supposedly responds to simple curves, but the images that his network churned out included grids, lattices, and cinnamon-roll swirls. Much like XDREAM’s hallucinogenic not-quite-faces, these complex images suggest that our understanding of how the brain sees the world is too basic. “If we only go by the intuitions of human researchers, we might get it wrong,” says Bashivan. “We’ll do better if we have models that contain all the knowledge in the field.”

“As biologists, many of us are still skeptical that current neural networks are similar enough to the brain to model it reliably,” Ponce says. But like Bashivan, he thinks that such models are the way forward, and studies such as these will help improve them. “Both approaches are about understanding a black box: the brain,” he says. “Both methods are necessary.”

Источник: https://www.theatlantic.com/science/archive/2019/05/ai-evolved-these-trippy-images-to-please-a-monkeys-neurons/588517/
what region is monkey app available in

What region is monkey app available in -

Elon Musk’s Neuralink explains how a monkey used its brain-computer tech to play Pong

In August, Neuralink conducted a live demo of its technology on three pigs. An audience was shown real-time neural signals from one of the pigs, which Musk named Gertrude.

Headquartered in San Francisco, Neuralink ultimately wants to increase the rate at which information can flow from the human brain to a machine.

While the technology is still in its infancy, Neuralink hopes that its devices will soon allow paralyzed humans to use their minds to operate machines.

On Thursday, Musk said the first Neuralink product will allow a paralyzed human to use a smartphone with their mind faster than someone using their thumbs.

AI is only going to get smarter and Neuralink's technology could one day allow humans to "go along for the ride," Musk said in an interview on Clubhouse in January.

To illustrate the pace of progress in AI, the innovator — who believes that machine intelligence will eventually surpass human intelligence — pointed to breakthroughs made at research labs like OpenAI, which he co-founded, and DeepMind, a London AI lab that was acquired by Google in 2014. DeepMind has "run out of games to win at basically," said Musk, who was an early investor in the company.

People are in effect already "cyborgs" because they have a tertiary "digital layer" thanks to phones, computers and applications, according to Musk.

"With a direct neural interface, we can improve the bandwidth between your cortex and your digital tertiary layer by many orders of magnitude," he said. "I'd say probably at least 1,000, or maybe 10,000, or more."

The digital layer he refers to could be anything from a person's iPhone to their Twitter account.

Long term, Musk claims that Neuralink could allow humans to send concepts to one another using telepathy and exist in a "saved state" after they die that could then be put into a robot or another human. He acknowledged that he was delving into sci-fi territory.

Источник: https://www.cnbc.com/2021/04/09/elon-musks-neuralink-shows-video-of-monkey-using-mind-to-play-pong.html

Super Monkey Ball Banana Mania

Available now

Go Bananas with your favorite monkey gang in the ultimate Super Monkey Ball adventure!

Roll through wondrous worlds with AiAi and friends as you race to stop monkey mad scientist Dr. Bad-Boon from blowing up Jungle Island! Join the all-star monkey team of AiAi, MeeMee, GonGon, Baby, YanYan and Doctor as you bounce, tilt, and roll your way across hundreds of delightfully crafted levels and mazes. It’s monkey business for the gang as you take down Dr. Bad-Boon and steal back your beloved bananas!

Features:
• The ultimate Super Monkey Ball Experience – More than 300 stages from Super Monkey Ball, Super Monkey Ball 2 and Super Monkey Ball Deluxe.
• Go Bananas with 12 fun minigames including Monkey Racing, Monkey Soccer, Monkey Bowling, Monkey Baseball and much more!
• Challenge your friends as you compete for top banana on the online leaderboards!
• Immerse yourself in the Super Monkey Ball world with creative comic book-style story telling in Story Mode.
• Want to be the coolest monkey on the block? Customize your character and Super Monkey Ball to make it your own!

Release date:
October 05, 2021

Players:
up to 4 players

Genre:
Arcade, Party, Platformer, Multiplayer

Publisher:
Sega

Developer:
Sega

Game file size:
3.1 GB

Supported Languages:
French, German, Italian, Spanish, English

Supported Play Modes:
TV mode

TV mode

Tabletop mode

Tabletop mode

Handheld mode

Handheld mode

Software compatibility and play experience may differ on Nintendo Switch Lite. Additional accessories may be required (sold separately). See support for details.

ESRB Rating:

Nintendo Switch Online

Play online, access classic Super NES™ games, and more with a Nintendo Switch Online membership.

Game and DLC bundle

*MSRP: Manufacturer's Suggested Retail Price. Actual price may vary. See retailer for details.

A Nintendo Switch Online membership (sold separately) is required for Save Data Cloud backup.

©SEGA. All rights reserved. SEGA is registered in the U.S. Patent and Trademark Office. SEGA, the SEGA logo, SUPER MONKEY BALL, and SUPER MONKEY BALL BANANA MANIA are either registered trademarks or trademarks of SEGA CORPORATION. All other trademarks, logos and copyrights are property of their respective owners.

Источник: https://www.nintendo.com/games/detail/super-monkey-ball-banana-mania-switch/

AI Evolved These Creepy Images to Please a Monkey’s Brain

What happens when an algorithm can ask neurons what they want to see?

By Ed Yong

Images produced by XDREAM

In April 2018, a monkey named Ringo sat in a Harvard lab, sipping juice, while strange images flickered in front of his eyes. The pictures were created by an artificial-intelligence algorithm called XDREAM, which gradually tweaked them to stimulate one particular neuron in Ringo’s brain, in a region that’s supposedly specialized for recognizing faces. As the images evolved, the neuron fired away, and the team behind XDREAM watched from a nearby room.

At first, the pictures were gray and formless. But as time passed, “from this haze, something started staring back at us,” says the neuroscientist Carlos Ponce. Two black dots with a black line beneath them, all against a pale oval. A face, albeit an abstracted one. Soon a red patch appeared next to it, which reminded the watching researchers of the red collar worn by a monkey who lives in the cage opposite Ringo’s. “We all looked at it and said, ‘Oh, that’s Anthony,’” says Margaret Livingstone, a neuroscientist at Harvard Medical School.

“And then, a few days later, we evolved Diane,” she adds. Diane is one of the monkeys’ caretakers, who feeds them while wearing blue scrubs and a white face mask. And when the team hooked XDREAM up to another of the monkey’s visual neurons, it produced a distorted image of a face in a white mask.

XDREAM’s images look like glitchy Kandinsky paintings viewed during a bad trip. You really wouldn’t want to hang them on your wall. But each one is close to the ideal stimulus for a particular neuron. And collectively, they tell us something interesting about how our brain makes sense of the world, and how much we still don’t understand about that process. “If cells are dreaming, [these images] are what the cells are dreaming about,” says Ponce. “It exposes the visual vocabulary of the brain, in a way that’s unbiased by our anthropomorphic perspective.”

The first hints of that vocabulary emerged in 1962, when Torsten Wiesel and David Hubel showed that specific neurons in the brain’s visual centers are tuned to specific stimuli—lights moving in particular directions, or lines aligned in particular ways. Since then, other neuroscientists have identified neurons that respond to colors, curvatures, faces, hands, and outdoor scenes. But here’s the catch: Those scientists always chose which kinds of shape to test, and their intuition might not reflect the actual stimuli to which the neurons are attuned. “Just because a cell responds to a specific category of image doesn’t mean you really understand what it wants,” says Livingstone.

So why not ask the neurons what they want to see?

Read: The human remembering machine

That was the idea behind XDREAM, an algorithm dreamed up by a Harvard student named Will Xiao. Sets of those gray, formless images, 40 in all, were shown to watching monkeys, and the algorithm tweaked and shuffled those that provoked the strongest responses in chosen neurons to create a new generation of pics. Xiao had previously trained XDREAM using 1.4 million real-world photos so that it would generate synthetic images with the properties of natural ones. Over 250 such generations, the synthetic images became more and more effective, until they were exciting their target neurons far more intensely than any natural image. “It was exciting to finally let a cell tell us what it’s encoding instead of having to guess,” says Ponce, who is now at Washington University in St. Louis.

There’s a risk that XDREAM could become a glorified Rorschach test, in which researchers see what they want to see. Is that red splotch really Anthony’s collar? Is the white one really Diane’s masked face? To check, the team used another algorithm to confirm that the synthetic images they saw as face-like really do look more like actual faces than other natural photos. They also showed that the neurons that prompt XDREAM to create face-like motifs themselves respond best to photos of true faces.

I mention to Ponce that XDREAM’s images are really unsettling, as if they’ve been plucked from some deep recess of the uncanny valley. “Yes!” he laughs. “They are!” He thinks they’re so good at stimulating monkey visual neurons that they’re also tickling our cells in a way that makes us feel uncomfortable. If one could use XDREAM on human neurons, “would we find similar images or different, and what would we think of them?” he asks. “At the moment, that’s not something anyone can do. But it makes me wonder.”

Livingstone also wonders whether XDREAM’s disquieting output hints at why so many mythical creatures are exaggerated versions of familiar things. Visual neurons, it seems, like exaggeration: In previous studies, her team showed that face-selective cells will respond more strongly to caricatures than to actual faces. “I think that gargoyles and leprechauns, these archetypes that people imagine … there’s a basis in our brains for them,” she says.

Beyond being weird, the most striking thing about XDREAM’s images is that they’re mostly unrecognizable. The team probed 46 neurons across six monkeys, and a few face-like motifs aside, most of the resulting images were messes of color, texture, and shape, which didn’t fit into obvious buckets. “It is striking that cells that were thought to code for simple objects or object parts may in fact code for much more complex visual stimuli,” says Leyla Isik, a neuroscientist at Johns Hopkins University. “Some may find it unsatisfying that the generated images cannot be described easily in terms of semantic categories. This ‘limitation,’ however, may just be a reality of the complex nature of the primate visual cortex.”

Through these experiments, researchers are learning more not just about the brain itself, but also about how to simulate it. Many neuroscientists have developed artificial neural networks that can analyze images and recognize objects, ostensibly by doing something close to what the brain’s actual visual centers do. But how close?

To find out, Pouya Bashivan at MIT used one such neural network to create images that should, theoretically, stimulate an actual brain in particular ways. His colleagues, Kohitij Kar and James DiCarlo, then showed these synthetic images to monkeys to see whether they worked as predicted.

The results were encouraging, if mixed. The neural network succeeded in fashioning images that would stimulate specific neurons more strongly than natural photos. But it wasn’t as good at another task: exciting one neuron while suppressing all its neighbors. This varied scorecard suggests that the network isn’t yet capturing everything there is to capture about the visual system.

Read: The AI-art gold rush is here

Still, it’s capturing something. Bashivan’s team focused on a region that supposedly responds to simple curves, but the images that his network churned out included grids, lattices, and cinnamon-roll swirls. Much like XDREAM’s hallucinogenic not-quite-faces, these complex images suggest that our understanding of how the brain sees the world is too basic. “If we only go by the intuitions of human researchers, we might get it wrong,” says Bashivan. “We’ll do better if we have models that contain all the knowledge in the field.”

“As biologists, many of us are still skeptical that current neural networks are similar enough to the brain to model it reliably,” Ponce says. But like Bashivan, he thinks that such models are the way forward, and studies such as these will help improve them. “Both approaches are about understanding a black box: the brain,” he says. “Both methods are necessary.”

Источник: https://www.theatlantic.com/science/archive/2019/05/ai-evolved-these-trippy-images-to-please-a-monkeys-neurons/588517/

Extras

Supplemental Slack info for you and your team.

There are a few ways to quickly survey your teammates in Slack. You can add a polling app to your workspace, or for quick and informal polls, you can use emoji reactions. Read on to learn how to create a poll in Slack.

 

The Slack App Directory offers several apps that help you poll members and collect feedback quickly. Apps like Polly, Simple Poll, Survey Monkey, and more are available to use in Slack. With a number of different polling features available — like anonymity, hidden results, scheduling, reminders, event-triggered surveys, and templates — check out App Directory to find an app that suits your needs.

Using emoji reactions, you can easily poll your teammates with a Slack message. In your message, set up your poll by choosing an emoji for each option people can vote on. Once you send your message, people can add a reaction to your message using one of the emoji you selected. Whichever option has the most reactions is the winner!

Message in Slack requesting teammates to vote on a poll, with emoji reactions added for each option

Awesome!

Thanks so much for your feedback!

If you’d like a member of our support team to respond to you, please send a note to feedback@slack.com.

Got it!

If you’d like a member of our support team to respond to you, please send a note to feedback@slack.com.

If you’d like a member of our support team to respond to you, please send a note to feedback@slack.com.

Oops! We're having trouble. Please try again later!

Источник: https://slack.com/help/articles/229002507-Create-a-poll-in-Slack

Through the Spinnaker web UI, you can configure how often Chaos Monkey terminates instances for each application.

Click on the "Config" tab in Spinnaker. There should be a "Chaos Monkey" widget where you can enable/disable Chaos Monkey for the app, as well as configure its behavior.

Config screnshot

Termination frequency

By default, Chaos Monkey is configured for a mean time between terminations of two (2) days, which means that on average Chaos Monkey will terminate an instance every two days for each group in that app.

Chaos Monkey also has a minimum time between terminations, which defaults to one (1) day. This means that Chaos Monkey is guaranteed to never kill more often than once a day for each group. Even if multiple Chaos Monkeys are deployed, as long as they are all configured to use the same database, they will obey the minimum time between terminations.

Grouping

Chaos Monkey operates on groups of instances. Every work day, for every (enabled) group of instances, Chaos Monkey will flip a biased coin to determine whether it should kill from an instance from a group. If so, it will randomly select an instance from the group.

Users can configure what Chaos Monkey considers a group. The three options are:

If grouping is set to "app", Chaos Monkey will terminate up to one instance per app each day, regardless of how these instances are organized into clusters.

If the grouping is set to "stack", Chaos Monkey will terminate up to one instance per stack each day. For instance, if an application has three stacks defined, then Chaos Monkey may kill up to three instances in this app per day.

If the grouping is set to "cluster", Chaos Monkey will terminate up to one instance per cluster each day.

By default, Chaos Monkey treats each region separately. However, if the "regions are independent" option is unchecked, then Chaos Monkey will not terminate instances that are in the same group but in different regions. This is intended to support databases that replicate across regions where simultaneous termination across regions is undesirable.

Exceptions

You can opt-out combinations of account, region, stack, and detail. In the example config shown above, Chaos Monkey will not terminate instances in the prod account in the us-west-2 region with a stack of "staging" and a blank detail field.

The exception field also supports a wildcard, , which matches everything. In the example above, Chaos Monkey will also not terminate any instances in the test account, regardless of region, stack or detail.

Источник: https://netflix.github.io/chaosmonkey/Configuring-behavior-via-Spinnaker/

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4 Replies to “What region is monkey app available in”

  1. @Zhana Welch No one is saying it doesn't affect every family but, really. 5k a month in rent, 5k in childcare, probably expensive bills, groceries, husband making 6 figures. It sounds like they need to move to a cheaper place and do some budgeting because if you're struggling to live on an income like that, you're seriously doing something wrong.

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