Researchers have introduced Annotatability—a powerful new framework to address a major challenge in biological research by ...

Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question ...

Their latest work has shown promise that these real biological neural networks can be made to learn, according to a pre-print paper that is yet to go through peer review. Scanning electron ...

A neural network, whether biological or artificial, is a complex and layered system of interconnected nodes or neurons that work together to process the input, weigh options, and arrive at an output.

Liquid neural networks are inspired by biological neurons to implement algorithms that remain adaptable even after training. [Hasani] demonstrates a machine vision system that steers a car to ...

On October 8, U of T Computer Science Professor Emeritus Geoffrey Hinton was sitting in a cheap hotel room in California when ...

To gain insight into these difficult theoretical issues, it has proved necessary to study grossly idealized models that are as different from real biological neural networks as apples are from ...

Some early experimentation suggests that these new ideas might replace the transformer as a fundamental neural network design ...

Delve into AI-generated antibiotics in this article .

"I think this might also help biologists understand how biological neural networks in humans and other species work." Li and Mao, a professor in the U-M Department of Physics, published their new ...

Researchers at KAUST, Saudi Arabia, have made significant strides in neuromorphic computing by developing a reconfigurable ...