By comparing brain scans and AI predictions, a UChicago psychology student is researching how we process unexpected events ...

Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.

Researchers reveal security vulnerabilities in open-source large language models, making them targets for hackers. These models, including variants of Meta's Llama and Google DeepMind's Gemma, are ...

Hackers and other criminals can easily commandeer computers operating open-source large language models outside the guardrails and constraints of the major artificial-intelligence platforms, creating ...

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

TUCSON, AZ / ACCESS Newswire / January 17, 2026 / Umbrella Labs today announced expanded availability of MOTS-c in a 10 mg vial format sold strictly for laboratory research use only, supporting ...

SINGAPORE--(BUSINESS WIRE)--Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and ...

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI). However, as the user base expands and the frequency of usage increases, deploying these ...

Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...