Physics meets AI: Harvard scientists applied renormalization theory to a simplified model, revealing how large neural networks stabilize learning in high‑dimensional spaces. Scaling mystery solved?: ...
Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.
Large Language Models (LLMs) such as GPT-4, Gemini-Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have ...
Organoids are miniature tissue or organ models formed by stem cells (including pluripotent stem cells, tissue-specific adult ...
On May 4, 2026, Alexander Hanff, a computer scientist and lawyer who runs the website ThatPrivacyGuy.com, posted an article ...
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Scientists tested AI’s moral compass, and the results reveal a key blind spot
A recent study published in the Proceedings of the National Academy of Sciences suggests that large language models struggle ...
A new study finds that large language models (LLMs), used with straightforward prompting, perform poorly on routine ...
Objectives To examine the associations between migration experiences during different life stages and long-term health ...
The most important test of a data architecture is not how it performs on day one. It is how it behaves when the business ...
Scale AI has seen its Pentagon CDAO OTA ceiling rise to $500 million for AI platforms, including Scale Data Engine and Scale ...
Battery management systems are growing increasingly smarter with innovations in software and hardware that enable more ...
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