Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...

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A paddle-wielding robot is so adept at playing table tennis that it is posing a tough challenge to elite human players and ...

A graduate student’s worst nightmare is being outpaced by a $140 algorithm that cranks out research papers in 15 hours. The AI Scientist-v2, developed by Sakana AI and University of British Columbia‘s ...

A human infant is born with roughly twice as many synapses as it will eventually need. Over the first few years of life, the ...

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Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...