Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Memory, as the paper describes, is the key capability that allows AI to transition from tools to agents. As language models ...

A strong perception layer unifies data from hundreds of sources and normalizes it into a shared schema. This is one reason ...

But last year we got the best sense yet of how LLMs function, as researchers at top AI companies began developing new ways to ...

Results from the Warfighter Brain Fitness Study, which recently published in the journal Military Medicine, show that the combination of two brain ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Overview:  AI is no longer just a support tool. Task-focused agents are now handling real work like compliance checks, hiring ...

“There is no cloud on the Moon,” said Allen Yang, founding executive director of the Vive Center for Enhanced Reality at the ...

Over time, LLMs will become more of a commodity layer, chosen less for uniqueness and more for performance, efficiency, and ...

The code can improve itself, but humans will still be responsible for understanding why something changed and whether it ...

Validated Across Influenza A and Influenza B, Including H3N2 Subclade K and Zoonotic Influenza A Subtypes H5, H7, H9AUSTIN, ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...