Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
Frontiers

Large Language Models in Digital Public Health: Data Foundations, Trustworthy Pretraining, and Real-World Applications

The domain of digital public health is rapidly evolving with the emergence of large language models (LLMs), which are poised to revolutionize disease ...

AI images scandalized a California elementary school. Now the state is pushing new safeguards

Adobe's artificial intelligence generated sexualized images in response to prompts for a 4th grade book project. The incident coincided with the release of new state guidelines to prevent harmful AI ...

How Researchers Reverse-Engineered LLMs For A Ranking Experiment

Researchers compare two solutions for approximating LLM rankings of Claude 4, GPT-4o, Gemini 2.5, and Grok-3. Researchers published the results of a study showing how AI search rankings can be ...

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...