Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

In a nutshell The brain uses active “circuit breakers” to suppress irrelevant information, rather than passively letting ...

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 ...

they even successfully connected their network to a living brain cell, creating a hybrid system that bridges artificial and biological neural networks. "This kind of fundamental understanding is ...

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 ...

6 They write lines of code in an algorithm such that there are nodes that each contain a mathematical function, similar to neurons that each have specific biological ... in the network. “When you ...

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.

Deep neural networks will allow signal transfer of nerve ... With their virtually limitless diversity, they can perform a broad variety of biological functions, from delivering oxygen to cells ...

A URV-led study highlights the limitations of AI models in understanding language The research compares the performance of seven AI models with that of 400 humans in comprehension tasks and reveals a ...

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a recent study published in the journal Patterns by the Visual Neuroscience ...

One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...