The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in ...

Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.

Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

Humans& Inc., a three-month-old artificial intelligence startup, today announced that it has closed a $480 million seed round ...