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Categories: Computer Science: Artificial Intelligence (AI), Ecology: Extinction
Published New technique improves AI ability to map 3D space with 2D cameras
(via sciencedaily.com) Original source Researchers have developed a technique that allows artificial intelligence (AI) programs to better map three-dimensional spaces using two-dimensional images captured by multiple cameras. Because the technique works effectively with limited computational resources, it holds promise for improving the navigation of autonomous vehicles.
Published Robot radiotherapy could improve treatments for eye disease
(via sciencedaily.com) Original source Researchers have successfully used a new robot system to improve treatment for debilitating eye disease.
Published Towards a new era in flexible piezoelectric sensors for both humans and robots
(via sciencedaily.com) Original source Flexible piezoelectric sensors are essential to monitor the motions of both humans and humanoid robots. However, existing designs are either are costly or have limited sensitivity. In a recent study, researchers tackled these issues by developing a novel piezoelectric composite material made from electrospun polyvinylidene fluoride nanofibers combined with dopamine. Sensors made from this material showed significant performance and stability improvements at a low cost, promising advancements in medicine, healthcare, and robotics.
Published AI-powered simulation training improves human performance in robotic exoskeletons
(via sciencedaily.com) Original source Researchers have demonstrated a new method that leverages artificial intelligence (AI) and computer simulations to train robotic exoskeletons to autonomously help users save energy while walking, running and climbing stairs.
Published Female AI 'teammate' generates more participation from women
(via sciencedaily.com) Original source An artificial intelligence-powered virtual teammate with a female voice boosts participation and productivity among women on teams dominated by men, according to new research.
Published 3D-printed mini-actuators can move small soft robots, lock them into new shapes
(via sciencedaily.com) Original source Researchers have demonstrated miniature soft hydraulic actuators that can be used to control the deformation and motion of soft robots that are less than a millimeter thick. The researchers have also demonstrated that this technique works with shape memory materials, allowing users to repeatedly lock the soft robots into a desired shape and return to the original shape as needed.
Published Specialist and migratory birds at greater risk under climate change
(via sciencedaily.com) Original source Following decades of decline, even fewer birds will darken North American skies by the end of the century, according to a new analysis. The study examines the long-term effects of climate change on the abundance and diversity of bird groups across the continent as a whole while accounting for additional factors that put birds at risk.
Published Researchers harness AI for autonomous discovery and optimization of materials
(via sciencedaily.com) Original source Today, researchers are developing ways to accelerate discovery by combining automated experiments, artificial intelligence and high-performance computing. A novel tool that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision.
Published Researchers create realistic virtual rodent
(via sciencedaily.com) Original source To help probe the mystery of how brains control movement, scientists have created a virtual rat with an artificial brain that can move around just like a real rodent. The researchers found that activations in the virtual control network accurately predicted neural activity measured from the brains of real rats producing the same behaviors.
Published Trash-sorting robot mimics complex human sense of touch
(via sciencedaily.com) Original source Researchers are breaking through the difficulties of robotic recognition of various common, yet complex, items. Their layered sensor is equipped with material detection at the surface and pressure sensitivity at the bottom, with a porous middle layer sensitive to thermal changes. An efficient cascade classification algorithm rules out object types in order, from easy to hard, starting with simple categories like empty cartons before moving on to orange peels or scraps of cloth.
Published Four-legged, dog-like robot 'sniffs' hazardous gases in inaccessible environments
(via sciencedaily.com) Original source Nightmare material or truly man's best friend? A team of researchers equipped a dog-like quadruped robot with a mechanized arm that takes air samples from potentially treacherous situations, such as an abandoned building or fire. The robot dog walks samples to a person who screens them for potentially hazardous compounds.
Published Researchers create skin-inspired sensory robots to provide medical treatment
(via sciencedaily.com) Original source Scientists have created innovative soft robots equipped with electronic skins and artificial muscles, allowing them to sense their surroundings and adapt their movements in real-time.
Published Scientists 'read' the messages in chemical clues left by coral reef inhabitants
(via sciencedaily.com) Original source What species live in this coral reef, and are they healthy? Chemical clues emitted by marine organisms might hold that information. But in underwater environments, invisible compounds create a complex 'soup' that is hard for scientists to decipher. Now, researchers have demonstrated a way to extract and identify these indicator compounds in seawater. They found metabolites previously undetected on reefs, including three that may represent different reef organisms.
Published Liquid metal-based electronic logic device that mimics intelligent prey-capture mechanism of Venus flytrap
(via sciencedaily.com) Original source A research team has developed a liquid metal-based electronic logic device that mimics the intelligent prey-capture mechanism of Venus flytraps. Exhibiting memory and counting properties, the device can intelligently respond to various stimulus sequences without the need for additional electronic components. The intelligent strategies and logic mechanisms in the device provide a fresh perspective on understanding 'intelligence' in nature and offer inspiration for the development of 'embodied intelligence'.
Published Flapping frequency of birds, insects, bats and whales described by universal equation
(via sciencedaily.com) Original source A single universal equation can closely approximate the frequency of wingbeats and fin strokes made by birds, insects, bats and whales, despite their different body sizes and wing shapes, researchers report in a new study.
Published Using AI to decode dog vocalizations
(via sciencedaily.com) Original source Have you ever wished you could understand what your dog is trying to say to you? Researchers are exploring the possibilities of AI, developing tools that can identify whether a dog's bark conveys playfulness or aggression.
Published Human activity contributed to woolly rhinoceros' extinction
(via sciencedaily.com) Original source Researchers have discovered sustained hunting by humans prevented the woolly rhinoceros from accessing favourable habitats as Earth warmed following the Last Ice Age.
Published New model allows a computer to understand human emotions
(via sciencedaily.com) Original source Researchers have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology. In the future, the model can help the computer to adapt its own behavior and guide an irritated or anxious user in different ways. The implications of such technology are profound, offering a glimpse into a future where computers are not merely tools, but empathetic partners in user interaction.
Published A technique for more effective multipurpose robots
(via sciencedaily.com) Original source MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different datasets that enables a robot to learn to perform new tasks in unseen environments.
Published Wire snare removal in protected areas is labor-intensive but effective -- and essential to solving the Southeast Asian snaring crisis
(via sciencedaily.com) Original source Snaring -- a non-selective method of poaching using wire traps -- is widespread in tropical forests in Southeast Asia. Snaring decimates wildlife populations and has pushed many larger mammals to local or even global extinction. Eleven years of data from ranger patrols in the Thua Thien Hue and Quang Nam Saola Nature Reserves in Viet Nam show that intensive removal efforts are labour-intensive and costly but brought snaring down by almost 40 percent and therefore reduced imminent threats to wildlife. Further reductions were difficult to achieve despite continued removal efforts. Snare removal is therefore necessary but by itself not sufficient to save the threatened wildlife diversity in tropical forests, scientists conclude.