New AI system counts endangered elephants from space

Scientists have unveiled a new tool for monitoring endangered wildlife: an AI system that automatically counts elephants from space. The tech combines satellite cameras with a convolutional neural network (CNN) to capture African elephants moving through forests and grasslands. In tests, the surveying technique detected elephants as accurately as human observers, while eliminating the risk of disturbing the species. The research joins a growing range of AI projects that are seeking to protect endangered animals. “Accurate monitoring is essential if we’re to save the species,” said Dr Olga Isupova, a computer scientist at the University of Bath who created the detection algorithm. “We…

This story continues at The Next Web

Related Articles

This ‘AI doctor’ can assess skin melanoma as accurately as human dermatologists

Scientists from the University of Gothenburg have developed an algorithm that assesses the severity of skin melanoma as accurately as dermatologists. The system was developed to help doctors determine the stage that a skin cancer has reached. While patients often independently find melanomas by spotting a new mole or a change in an existing one, even dermatologists can struggle to decide whether it’s invasive or not. The researchers suspected that AI could assist them with the task. [Read: How Polestar is using blockchain to increase transparency] They classified the melanomas with a convolutional neural network (CNN), a powerful method of analyzing images that’s proven… This story continues at The Next Web

Scientists developed an AI system for predicting human psychosis

A team of European scientists led by researchers from the Max Planck institute recently developed the world’s first cybernetic system for predicting psychosis onset in high-risk patients. According to the NIH, about three percent of the general population (data is US-specific) will experience psychosis in their lifetimes. To put that in perspective, the odds you’ll be stung by a bee are approximately six million to one. Unfortunately, predicting psychosis in high-risk patients is a difficult task. The current paradigm requires intensive diagnosis by trained professionals at a specialized medical facility, something most of the world’s population lacks immediate access to.… This story continues at The Next Web

Scientists develop AI-powered ‘puff technology’ to help smokers quit

Scientists are developing an AI device that helps people quit smoking by predicting when they’ll crave a nicotine hit. The “Level” system is an onboard computer for e-cigarettes that precisely monitors vaping behavior. It’s designed to help users control their cravings or reduce the amount of nicotine they’re inhaling. Level will incorporate insights from an observational study launched today by the University of East Anglia. The research team has developed a small monitoring device that screws onto tank-based e-cigs. It then measures the number and duration of a user’s vapes, the time between each drag, and the power used per puff. This data will create a personalized… This story continues at The Next Web

Surveillance group exposes disturbing Huawei patent for AI-powered Uighur detection

A Huawei patent that mentions AI-powered identification of Uighur people and other ethnic groups has been discovered. The patent was exposed by video surveillance research group IPVM, the same organization that had previously spotted references to an AI “Uighur alarm” on Huawei‘s website, as well as evidence that Alibaba had offered “Uighur-detection-as-a-service.” IPVM also recently found 12 government projects from the last few years that mandate Uighur analytics across the country. These show that the persecution of the Muslim minority group spreads way beyond the Xinjiang Uighur Autonomous Region in north-western China. Satellite images, leaked documents, and personal accounts of former detainees of “re-education” camps… This story continues at The Next WebOr just read more coverage about: Huawei

Responses

Your email address will not be published. Required fields are marked *

Receive the latest news

Subscribe To Our Weekly Newsletter

Get notified about chronicles from TreatMyBrand directly in your inbox