Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...

With Phase 2 of Blackwall Reach, Metropolitan Workshop and Haworth Tompkins have more than doubled the density of the former ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

In a study published February 5th in PLOS Biology, researchers played piano sonatas by J.S. Bach to sleeping newborns (some ...

As we enter 2026, we will have to move past the initial awe of viewing AI as simply an image-generation or chat-based tool. Over time, the companies have ...

Human clustering can be rather precarious. Small teams work well because they balance diversity of thought with coherence of ...

From brain development to accents, aptitude, and motivation, the real science behind language learning challenges the idea ...

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

To help reduce the misuse and misunderstanding of current science, scientific research needs to be explained in language the ...

Claims that artificial intelligence (AI) is on the verge of surpassing human intelligence have become commonplace. According ...

The four faculty that assembled to explore artificial general intelligence represent multiple disciplines across UC San Diego ...