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Categories: Computer Science: General, Ecology: Extinction
Published New video test for Parkinson's uses AI to track how the disease is progressing



An automated assessment technique that uses artificial intelligence could revolutionize the management of Parkinson's disease.
Published A window of opportunity for climate change and biodiversity



World leaders must take advantage of a pivotal window of opportunity for forging a much-needed joined-up approach to tackle climate change and biodiversity loss, say scientists. Without this, work on tackling either crisis could inadvertently harm progress on the other.
Published Tropical plant species are as threatened by climate change as widely feared, study confirms



Biologists who set out to better understand the effects of climate change on plant species in tropical mountain regions found that even small variations in temperature and moisture can have massive impacts, threatening not only plants that live there, but also the ecosystems they support. A study based on labor-intensive fieldwork and analysis in tropical mountain regions shows that a warmer and drier climate will lead to massive losses of plant species.
Published Are AI-chatbots suitable for hospitals?



Large language models may pass medical exams with flying colors but using them for diagnoses would currently be grossly negligent. Medical chatbots make hasty diagnoses, do not adhere to guidelines, and would put patients' lives at risk. A team has systematically investigated whether this form of artificial intelligence (AI) would be suitable for everyday clinical practice. Despite the current shortcomings, the researchers see potential in the technology. They have published a method that can be used to test the reliability of future medical chatbots.
Published Scientists use AI to predict a wildfire's next move



Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread.
Published Revolutionizing the abilities of adaptive radar with AI



Engineers have shown that using a type of AI that revolutionized computer vision can greatly enhance modern adaptive radar systems. And in a move that parallels the impetus of the computer vision boom, they have released a large dataset of digital landscapes for others to build on their work.
Published Can consciousness exist in a computer simulation?



A new essay explores which conditions must be met for consciousness to exist. At least one of them can't be found in a computer.
Published Want privacy? You're just a stick figure to this camera



A new camera could prevent companies from collecting embarrassing and identifiable photos and videos from devices like smart home cameras and robotic vacuums. It's called PrivacyLens.
Published Does the type of workstation you use make a difference in your health and productivity?



Although devices such as standing desks have been found to alleviate physical symptoms and increase worker productivity, questions remain regarding the best use of the primary types of workstations -- stand-biased, sit-stand or traditional -- for increasing workers' physical activity and preventing health problems. To answer these questions, researchers measured the computer usage and activity levels of 61 office workers for 10 days to evaluate any discomfort and develop possible remedies.
Published Evidence for butchery of giant armadillo-like mammals in Argentina 21,000 years ago



Cut marks on fossils could be evidence of humans exploiting large mammals in Argentina more than 20,000 years ago, according to a new study.
Published Ant insights lead to robot navigation breakthrough



Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots. Drone-researchers felt inspired by biological findings on how ants visually recognize their environment and combine it with counting their steps in order to get safely back home. They have used these insights to create an insect-inspired autonomous navigation strategy for tiny, lightweight robots. It allows such robots to come back home after long trajectories, while requiring extremely little computation and memory (0.65 kiloByte per 100 m). In the future, tiny autonomous robots could find a wide range of uses, from monitoring stock in warehouses to finding gas leaks in industrial sites.
Published Research tracks 66 million years of mammalian diversity



New research has examined the fossil record going back 66 million years and tracked changes to mammalian ecosystems and species diversity on the North American continent.
Published Paving the way to extremely fast, compact computer memory



Researchers have demonstrated that the layered multiferroic material nickel iodide (NiI2) may be the best candidate yet for devices such as magnetic computer memory that are extremely fast and compact. Specifically, they found that NiI2 has greater magnetoelectric coupling than any known material of its kind.
Published Logged forests can still have ecological value -- if not pushed too far



Researchers have analysed data from 127 studies to reveal 'thresholds' for when logged rainforests lose the ability to sustain themselves. The results could widen the scope of which forests are considered 'worth' conserving, but also show how much logging degrades forests beyond the point of no return.
Published A new neural network makes decisions like a human would



Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.
Published History shows that humans are good for biodiversity... sometimes



Humans have been an important driver of vegetation change over thousands of years, and, in some places, had positive impacts on biodiversity, according to a new study.
Published When to trust an AI model



A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine whether to trust the model when it is deployed in real-world settings.
Published Neural networks made of light



Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. In a new paper, the researchers have demonstrated a method much simpler than previous approaches.
Published How risk-averse are humans when interacting with robots?



How do people like to interact with robots when navigating a crowded environment? And what algorithms should roboticists use to program robots to interact with humans? These are the questions that a team of mechanical engineers and computer scientists sought to answer in a recent study.
Published Mapping the world's fungi from air samples



Researchers have found that the key to a quick and cost-effective mapping of biodiversity has been right in front of our eyes all along, but at the same time invisible -- i.e., in the air that surrounds us.