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Categories: Computer Science: Artificial Intelligence (AI), Mathematics: General

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Scientists have created a non-invasive movement tracking method called GlowTrack that uses fluorescent dye markers to train artificial intelligence to capture movement, from a single mouse digit to the human hand. GlowTrack has applications spanning biology, robotics, medicine, and beyond.

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New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics.

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New physics-based self-learning machines could replace the current artificial neural networks and save energy.

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A team has developed a shape-changing smart speaker, which uses self-deploying microphones to divide rooms into speech zones and track the positions of individual speakers.

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Scientists have shown that their steerable lung robot can autonomously maneuver the intricacies of the lung, while avoiding important lung structures.

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Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

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Researchers combined soft microactuators with high-energy-density chemical fuel to create an insect-scale quadrupedal robot that is powered by combustion and can outrace, outlift, outflex and outleap its electric-driven competitors.

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A new study shows that human instruction is still necessary to detect and compensate for unintended, and sometimes negative, changes in neurosurgeon behavior after virtual reality AI training. This finding has implications for other fields of training.

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A research team has developed groundbreaking 'soft valve' technology -- an all-in-one solution that integrates sensors and control valves while maintaining complete softness.

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A major new study has revealed that American teenagers are more likely than any other nationality to brag about their math ability.

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The era of artificial-intelligence chatbots that seem to understand and use language the way we humans do has begun. Under the hood, these chatbots use large language models, a particular kind of neural network. But a new study shows that large language models remain vulnerable to mistaking nonsense for natural language. To a team of researchers, it's a flaw that might point toward ways to improve chatbot performance and help reveal how humans process language.

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Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.

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Researchers have developed a new simulation model, which can predict flooding during an ongoing disaster more quickly and accurately than currently possible.

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Many of today's artificial intelligence systems loosely mimic the human brain. In a new paper, researchers suggest that another branch of biology -- ecology -- could inspire a whole new generation of AI to be more powerful, resilient, and socially responsible. The paper argues for a synergy between AI and ecology that could both strengthen AI and help to solve complex global challenges, such as disease outbreaks, loss of biodiversity, and climate change impacts.

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Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a 'brainless' soft robot that can navigate more complex and dynamic environments.

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Synchronicity is all around us, but it is poorly understood. Computer scientists have now developed new tools to understand how human and natural networks fall in and out of sync.

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A new artificial intelligence tool can help people with Parkinson's disease remotely assess the severity of their symptoms within minutes. While expert neurologists performed slightly better than the AI model, the AI model outperformed the primary care physicians with UPDRS certification.

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An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks.

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Exciting a brain region using electrical noise stimulation can help improve mathematical learning in those who struggle with the subject, according to a new study.

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The day when robots can cook dinner, clear the kitchen table and empty the dishwasher is still a long way off. First, robots need to be able to recognize the many items of different sizes, shapes and brands in our homes. A team has now made a significant advance toward that technology with a robotic system that uses artificial intelligence to help robots better identify and remember objects.