Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.
Researchers at Princeton University have developed a hybrid biocomputing platform that combines living brain ...
Researchers at Goethe University and Philipps University Marburg, in collaboration with the Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, have developed a new artificial ...
This article explores how AI tools are helping researchers reduce waste, optimize experiments, and accelerate discoveries, making scientific research more efficient and sustainable.
LexisNexis Risk Solutions, a data and analytics provider focused on insurance, financial services and public sector markets, ...
Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...
Talented young scientist's links with Beihang University raised in recent article but questions remained unanswered ...
Researchers develop organic synaptic transistors for neuromorphic computing, aiming to match the human brain's 20-watt efficiency for AI.
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AI and the chaos of optical fibers

Optical fibers transmit information at the speed of light over thousands of kilometers. These properties have enabled their ...
For nearly 80 years, modern computing has depended on electrons rushing through circuits. This ...
The search giant no longer just “organizes the world’s information.” With Gemini, it wants AI to reason over that information ...