Large language models can transmit harmful behavior to one another through training data, even when that data lacks any ...

A human infant is born with roughly twice as many synapses as it will eventually need. Over the first few years of life, the ...

More than a century of psychological research has assumed that, given constrained resources for storing information, learning should happen through forgetting most things but hanging onto only key ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

Learning a language can’t be that hard — every baby in the world manages to do it in a few years. Figuring out how the process works is another story. Linguists have devised elaborate theories to ...