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 ...

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

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 ...

“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 ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

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 ...

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 ...