Some artificial intelligence models can already resemble the human brain even before having learned anything. This surprising ...

Louisville, KY, USA, December 11th, 2025, FinanceWireAt a critical juncture in which global financial markets are ...

Deep neural networks have a huge advantage: They replace “feature engineering”—a difficult and arduous part of the classic machine learning cycle—with an end-to-end process that automatically learns ...

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

Recent advances in neural network design have spurred the development of energy-efficient architectures for speech recognition, a field that underpins a range of modern applications from smart ...

What if we could peer into the brain and watch how it organizes information as we act, perceive, or make decisions? A new ...

Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...

Smiths Detection will collaborate with Neural Guard, a provider of artificial intelligence based automatic detection algorithms, to integrate its threat recognition software with Smiths Detection’s HI ...

In their classic 1998 textbook on cognitive neuroscience, Michael Gazzaniga, Richard Ivry, and George Mangun made a sobering observation: there was no clear mapping between how we process language and ...