Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

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 ...

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are “super ...

“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 ...

We asked experts for their best arguments in the long-standing debate over whether brains and computers process information the same way. It’s an analogy that goes back to the dawn of the computer era ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Two microelectrode arrays in the “hand area” of the brain measure neural activity. A recurrent neural network (RNN) then converts the signals into probabilities for each character. These probabilities ...

Some computer vision programs have been thrown off by tricks such as manipulating the pixels in an image. MODIFIED FROM ISTOCK.COM / EYEEM MOBILE GMBH Anyone with a computer has been asked to “select ...

Engineers are using neural networks to accelerate predictions of how the microstructures of materials evolve. The machine-learning technique should speed the development of novel materials. The ...