E-reading apps have experienced a significant rise in popularity over the past several years, with individuals utilizing these platforms to enhance their educational, leisure, and language learning ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...

With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That’s generally ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

It has been unclear how to build simulations of entire neural circuits with only measurements from a dead fly’s brain. Using machine learning to combine a wiring diagram with knowledge of the ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...

In a revealing Genomic Press Interview published today in Genomic Psychiatry , Dr. Maria Margarita Behrens recounts an extraordinary scientific journey that wound through four countries and multiple ...