A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

Unlike their more modern large language model counterparts, artificial neural networks require human input to learn and function. ANNs have been around since the 1950s. They started taking hold in ...

Computing power has increased exponentially over the past few decades. We now have cameras on smartphones with incredible computational photography, voice assistants that respond near instantaneously, ...

Researchers at the University Hospital Bonn and the University of Bonn are reconstructing neural networks in the laboratory and investigating new ...

Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from ...

How do the circuits of the human brain work—and what happens when they are disrupted? To investigate these questions, ...

Even as machines known as “deep neural networks” have learned to converse, drive cars, beat video games and Go champions, dream, paint pictures and help make scientific discoveries, they have also ...

Scientists developed a wireless brain implant smaller than a grain of sand that recorded neural activity in mice for 365 days ...

John J. Hopfield and Geoffrey E. Hinton received the Nobel Prize in physics on Oct. 8, 2024, for their research on machine learning algorithms and neural networks that help computers learn. Their work ...

Ultra-thin MoS2 memtransistor arrays feature controlled Schottky barriers, low variability, and reliable switching, boosting ...