Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover ...

Humans outperform AI in new games using real world priors and faster flexible learning, giving them a key advantage in ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

Human languages are known to have grown and changed considerably over the course of history, often reflecting technological, ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

What can venture-backed startups learn from crowdfunding success? This article explores how demand validation, clarity, and ...

When I first started my work, I expected to find complexity. What I didn’t expect was to find the same dynamic over and over.

Our memory records details and detects patterns in everyday life—often without us even realizing it. Researchers at Lund ...

When your mind works in layers, communication can quickly lose clarity. These two patterns explain why that gap forms, and ...

A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task that was previously carried out by artificial systems. (Nanowerk News) A ...