Machine Learning
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AI has been surpassing human performance benchmarks for years. But its rapid rise has highlighted its areas of weakness: Trustworthiness, ethics, and producing unbiased and non-discriminatory content. As a result, the world has become more nervous.
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Back in January, researchers showed off the kitchen skills of an open-source Aloha housekeeping robot. Now the Unleashed project gets to grips with knotting shoelaces, hanging shirts and even repairing other robots.
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Researchers have developed a reinforcement learning-based framework that allows a full-sized humanoid robot to be teleoperated by a human in real-time using only an RGB camera. Which begs the question: Will manual labor soon be performed remotely?
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Researchers have developed a transparent window coating that lets in visible light but blocks heat-producing UV and infrared, not only reducing room temperature but also cutting energy consumption related to cooling the space.
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Machine-learning models predicted what would make beer taste better. Trained taste testers who drank the AI-altered beverages were greatly impressed. Now, scientists behind this taste-perfecting method have their sights set on much more than beer.
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Researchers have created a thin transparent neural implant that can monitor activity on the brain's surface but also account for functions at a deeper level. The hope is that it will lead to an accurate but less invasive brain-computer interface.
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Researchers developed an AI algorithm that automatically analyzes chest X-rays to rapidly detect COVID-19 infection with more than 98% accuracy, distinguishing between normal X-rays and X-rays from people with viral pneumonia.
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Figure's Brett Adcock claimed a "ChatGPT moment" for humanoid robotics on the weekend. Now, we know what he means: the robot can now watch humans doing tasks, build its own understanding of how to do them, and start doing them entirely autonomously.
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It's remarkable to watch the CyberRunner robot rapidly advance from shaky beginner to smooth, seasoned pro – and, like humans, it even finds ways to cheat. A compelling demonstration of AI's ability to master complex real-world skills.
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Australian researchers are putting together a supercomputer designed to emulate the world's most efficient learning machine – a neuromorphic monster capable of the same estimated 228 trillion synaptic operations per second that human brains handle.
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Scientists have grown a tiny brain-like organoid out of human stem cells, hooked it up to a computer, and demonstrated its potential as a kind of organic machine learning chip, showing it can quickly pick up speech recognition and math predictions.
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Researchers have combined high-resolution images of blood vessels under the skin of diabetics and an AI algorithm to formulate a ‘score’ that can determine disease severity. The technique could be used to monitor the effectiveness of treatment.
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