11 articles available

SleepFM AI model trained on 585,000 hours of sleep data predicts 130 diseases including dementia and heart failure from one overnight recording.

Repeating the input prompt improves accuracy across Gemini, GPT, Claude, and Deepseek models in 47 out of 70 benchmarks with zero losses and no added...

SleepFM, a foundation model trained on 585,000+ hours of sleep recordings, predicts 130 diseases from a single night's polysomnography with C-Index sc...

Scientists gave AI a virtual computer playground. Now the AI can do math, read huge books, and even make music all by itself!

Researchers created LLM-in-Sandbox, a framework that gives language models access to a virtual computer where they can execute commands, manage files,...

Meta's VL-JEPA learns by predicting semantic embeddings instead of generating text token-by-token, allowing it to focus on meaning rather than phrasin...

Meta's VL-JEPA represents a shift in vision-language AI by predicting abstract meaning (embeddings) instead of generating text word-by-word, focusing...

Scientists made a smarter way to connect parts of AI’s thinking process using mHC so they work better and don't get confused when learning big things.

You’ve noticed it too—AI responses are starting to blend together. Here’s why that’s dangerous.
Generalist medical AI is coming—think of it as a jack-of-all-trades doctor in your computer.
In a world where machines learn secrets of language, one breakthrough shattered the rules: Attention Is All You Need.