With AI, “we are in the process not of re-creating human biology,” said Thomas Naselaris, a neuroscientist at the University ...

The team's methods could serve as an inspiration for future works aimed at exploring biological mechanisms using brain-inspired artificial neural networks. "Nowadays, it is quite common to train ...

In this work, biological neurons alone solved a problem ... neurons with this capability would form more efficient artificial neural networks. Source: CNRS INSIS ...

AI models like artificial neural networks and language models help scientists solve ... biology but caution that researchers need significant expertise to harness AI for biological applications.

We should probably expect to see the operational gap between biological neural networks and artificial neural networks continue to close and blur. We’ve previously presented on wetware examples ...

Breakthrough light-powered chip speeds up AI training and reduces energy consumption. Engineers at Penn have developed the ...

For now, the company is selling the device as a way to train "biological AI," meaning neural networks that rely on actual neurons. In other words, the neurons can be "taught" via the silicon chip.

Instead, by using a new technique that allowed them to peer into the inner workings of a language model, they observed Claude ...

Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers from the Göttingen Campus Institute for Dynamics of Biological ...

Another research line that Rus is excited about to make robots smarter was inspired by the development of large language ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...