Johns Hopkins scientists have developed a method involving artificial intelligence to visualize and track changes in the strength of synapses—the connection points through which nerve cells in the ...

Key to resilient energy-efficient AI/machine learning may reside in human brain Date: November 1, 2021 Source: Penn State Summary: A clearer understanding of how a type of brain cell known as ...

Using machine learning, researchers are able to use data from the brain to glean deeper insights and apply this new knowledge in clinical settings.

The brain is the inspiration for artificial intelligence (AI) machine learning. The layers of nodes in artificial neural networks are a synthetic nod to biological neurons.

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 ...

Machine learning and AI will change how brain-machine interface technologies communicate with the brain.

Despite the continued progress in the state of the art in machine learning and artificial intelligence, one thing that still sets the brain apart is its ability to infer information that supports ...

Scientists have designed a transistor that stores and processes information like the human brain and can perform cognitive tasks that most artificial intelligence (AI) systems today struggle with.