Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

REDWOOD CITY, Calif., Jan. 31, 2026 /PRNewswire/ -- Zilliz, the company behind the leading open-source vector database Milvus, today announced the open-source release of its Bilingual Semantic ...

Microsoft launched Rho-alpha in late January 2026, a robot model that uses vision, language, and touch sensors for two-armed tasks.

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.

Choosing AI in 2026 is no longer about picking the most powerful model; it is about matching capabilities to tasks, risks, ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...

Andromeda and GEM now determine how ads are selected, ranked, and sequenced across Meta. Here’s what changed and what drives ...

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source ...

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word. New research suggests that this habit may also help machines learn more like you ...

The new Forward AI capability builds on the vendor's digital twin and is designed to allow network teams to ask complex questions, understand network behavior, validate outcomes and safely automate ...