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GeoPT learns physics from synthetic geometry, not labeled data — cutting training data by 60% and hitting peak performance 4x faster on industrial simulations.

Photonics-based generative AI for lower environmental impact.

Introducing NEOLAF: A novel Neural-Symbolic Cognitive Architecture revolutionizing AI. Enhanced explainability, efficiency, and self-improvement redefine intelligent agent construction. Dive into its advanced learning capabilities and transformative potential.

The ERA system developed by Google and Harvard researchers dramatically speeds up the creation of custom programs used in scientific research and outperforms human-written code.

John Hopfield and Geoffrey Hinton, two pioneers of machine learning and artificial neural networks, have won the Nobel Prize in Physics.

How prosody, the musical quality of speech, conveys emotions and meanings beyond words in everyday conversations.

A 150-million-parameter system scores nearly 30 percent on a public intelligence benchmark while costing a fraction of larger models that rely on written reasoning steps.