It's cheap to copy already built models from their outputs, but likely still expensive to train new models that push the ...

Researchers at Stanford and the University of Washington have developed a model that performs comparably to OpenAI o1 and ...

AI researchers at Stanford and the University of Washington were able to train an AI "reasoning" model for under $50 in cloud ...

From enhanced physical security to streamlined traffic management, large vision models have the potential to improve public ...

But most intriguingly, DeepSeek’s approach suggests how deep domain expertise might matter more than raw compute in building the next generation of AI models and intelligent applications.

But a new paper published in PLOS Biology suggests that computer models could contribute to making more targeted antibiotics, with a reduced risk of increasing bacteria’s antibiotic resistance.

Researchers have developed a computer model to help scientists identify tumor-fighting immune cells in patients with lung cancer treated with immune checkpoint inhibitors.

Researchers used questions from the NPR Sunday Puzzle challenge to build a benchmark to test AI 'reasoning' models.

Let models explore different solutions and they will find optimal solutions to properly allocate inference budget to AI reasoning problems.

Get Instant Summarized Text (Gist) Researchers have developed advanced computer models to create more targeted antibiotics, addressing the issue of antibiotic resistance. These models allow for ...

Adding on to the discussion, Chaitanya suggested large compute and data were not the only possible pathways in developing AI models. Different algorithms and India’s strong mathematical ...