New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced ...
DeepSeek’s latest technical paper, co-authored by the firm’s founder and CEO Liang Wenfeng, has been cited as a potential game changer in developing artificial intelligence models, as it could ...
Chinese artificial intelligence start-up DeepSeek has ushered in 2026 with a new technical paper, co-authored by founder Liang Wenfeng, that proposes a rethink of the fundamental architecture used to ...
Enterprises that want tokenizer-free multilingual models are increasingly turning to byte-level language models to reduce brittleness in noisy or low-resource text. To tap into that niche — and make ...
For proof that Chicago remains the city that works, one need go no farther than 3410 W. Lake St. in the Garfield Park neighborhood. That’s where you’ll find the newly renovated home for Revolution ...
Disclosure: Our goal is to feature products and services that we think you'll find interesting and useful. If you purchase them, Entrepreneur may get a small share of the revenue from the sale from ...
This $49.99 deal gets you lifetime access to Microsoft Office Pro 2021 for Windows plus a bonus training bundle. Pradershika Sharma is a tech deals writer for Lifehacker. She has a Master’s degree in ...
Next time you’re on I-290 west of Chicago — a stretch of road that’s notorious for traffic tie-ups — there’s now a good reason to slow down a bit, courtesy of Ironworkers Local 63. The union built a ...
Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...
Why are we asking for donations? Why are we asking for donations? This site is free thanks to our community of supporters. Voluntary donations from readers like you keep our news accessible for ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.