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Categories: Computer Science: Artificial Intelligence (AI), Ecology: Extinction
Published Scientists use A.I.-generated images to map visual functions in the brain



Researchers have demonstrated the use of AI-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain. The goal is to apply a data-driven approach to understand how vision is organized while potentially removing biases that may arise when looking at responses to a more limited set of researcher-selected images.
Published 2D material reshapes 3D electronics for AI hardware



Researchers demonstrated monolithic 3D integration of layered 2D material into novel processing hardware for artificial intelligence computing. The new approach provides a material-level solution for fully integrating many functions into a single, small electronic chip -- and paves the way for advanced AI computing.
Published Identifying Australia's most elusive birds



Scientists have analyzed more than 3.8 million volunteer hours of birdwatching data to identify Australia's most elusive species.
Published Unknown animals were leaving bird-like footprints in Late Triassic Southern Africa



Ancient animals were walking around on bird-like feet over 210 million years ago, according to a new study.
Published Vulnerability of England's only resident bottlenose dolphins



New research has provided a detailed examination of England's bottlenose dolphin population's existence and the challenges it faces from human activities and environmental factors on a daily basis.
Published How do you make a robot smarter? Program it to know what it doesn't know



Engineers have come up with a new way to teach robots to know when they don't know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty -- and triggers the robot to ask for clarification.
Published Researchers engineer a material that can perform different tasks depending on temperature



Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to perform specific tasks. These materials are poised to be part of the next generation of autonomous robotics that will interact with the environment.
Published Defending your voice against deepfakes



Computer scientists have developed AntiFake, a tool to protect voice recordings from unauthorized speech synthesis.
Published Deoxygenation levels similar to today's played a major role in marine extinctions during major past climate change event



Scientists have made a surprising discovery that sheds new light on the role that oceanic deoxygenation (anoxia) played in one of the most devastating extinction events in Earth's history. Their finding has implications for current day ecosystems -- and serves as a warning that marine environments are likely more fragile than apparent. New research, published today in leading international journal Nature Geosciences, suggests that oceanic anoxia played an important role in ecosystem disruption and extinctions in marine environments during the Triassic--Jurassic mass extinction, a major extinction event that occurred around 200 million years ago. Surprisingly however, the study shows that the global extent of euxinia (an extreme form of de-oxygenated conditions) was similar to the present day.
Published New method uses crowdsourced feedback to help train robots



A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains the robot faster and better than other approaches.
Published First comprehensive look at effects of 2020-2021 California megafires on terrestrial wildlife habitat



In 2020 and 2021, California experienced fire activity unlike anything recorded in the modern record. When the smoke cleared, the amount of burned forest totaled ten times more than the annual average going back to the late 1800s. We know that wildlife in western forests evolved with changing habitat and disturbances like wildfire. Each species responds differently, some benefiting from openings, others losing critical habitat. What we don't know is how increasing fire severity at large scales is impacting their habitat and survival, because many species are not adapted to these types of 'megafires.'
Published How we play together



Psychologists are using EEG to research what games reveal about our ability to cooperate.
Published AI can 'lie and BS' like its maker, but still not intelligent like humans



A researcher contends that the understanding of AI is muddled by linguistics: That while indeed intelligent, AI cannot be intelligent in the way that humans are, even though 'it can lie and BS like its maker.'
Published Creativity in the age of generative AI: A new era of creative partnerships



Generative AI (e.g., ChatGPT) has propelled AI into the mainstream, raising concerns about job displacement and creative work. Experts now emphasize a need to focus on 'co-creativity,' the human-AI interaction instead. Extensive research is needed for comprehending co-creativity which is crucial for the future development of AI.
Published AI system self-organizes to develop features of brains of complex organisms



Scientists have shown that placing physical constraints on an artificially-intelligent system -- in much the same way that the human brain has to develop and operate within physical and biological constraints -- allows it to develop features of the brains of complex organisms in order to solve tasks.
Published AI: Researchers develop automatic text recognition for ancient cuneiform tablets



A new artificial intelligence (AI) software is now able to decipher difficult-to-read texts on cuneiform tablets. Instead of photos, the AI system uses 3D models of the tablets, delivering significantly more reliable results than previous methods. This makes it possible to search through the contents of multiple tablets to compare them with each other. It also paves the way for entirely new research questions.
Published Half of tested caviar products from Europe are illegal, and some aren't even caviar



Wild caviar, a pricey delicacy made from sturgeon eggs, has been illegal for decades since poaching brought the fish to the brink of extinction. Today, legal, internationally tradeable caviar can only come from farmed sturgeon, and there are strict regulations in place to help protect the species. However, by conducting genetic and isotope analyses on caviar samples from Bulgaria, Romania, Serbia, and Ukraine -- nations bordering the remaining wild sturgeon populations -- a team of sturgeon experts found evidence that these regulations are actively being broken. Their results show that half of the commercial caviar products they sampled are illegal, and some don't even contain any trace of sturgeon.
Published Like the phoenix, Australia's giant birds of prey rise again from limestone caves



Australia's only vulture, and a fearsome extinct eagle, are among the earliest recorded birds of prey from the Pleistocene period more than 50,000 years ago -- and now researchers are bringing them to 'life' again. Along with new scientific information, a bold new pictorial reconstruction of a newly named eagle and the only known Australian vulture will be unveiled at the World Heritage-listed Naracoorte Caves in South Australia's Limestone Coast this month.
Published Nature photographers posting to social media help with protecting biodiversity



Nature photographers posting to social media are helping improve biodiversity conservation mapping in South Asia, and the method could go global.
Published The mind's eye of a neural network system



A new tool, based on topology, makes finding the areas where neural networks are confused as simple as spotting mountaintops from an airplane. The ability to spot and address those areas of confusion should enable more confident application of neural networks in high-stakes decision scenarios or image prediction tasks like healthcare and research.