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Can AI truly invent instead of imitate? A groundbreaking logic framework enables machines to blend concepts creatively, producing original ideas in music, mathematics, and beyond.

Move beyond chatbots. Cognitive architectures are transforming language models into true agents—equipped with memory, reasoning, and goal-driven action to shape the real world.

In an infinite data library, AI learns to spend its thinking wisely—prioritizing surprising patterns over common ones, transforming brute-force search into strategic, curiosity-driven discovery.

Tired of AGI leaderboard illusions? A data scientist reveals the real test: can it invent Bitcoin in 2007, teach quantum physics in Swahili, and know when to ask for help?

The same architecture first shown on graphics processor code optimization also finished every public level of a demanding benchmark that requires discovering rules through trial and error.

Geodesic Inference Control transforms AI: bidirectional least-effort paths via Schrödinger geometry unify reasoning and learning—scalable, hallucination-proof, and decentralized for reliable intelligence.

PGM–HoTT revolutionizes AI: paraconsistent geodesic HoTT extension embraces contradictory identity evidence with graded costs, enabling robust commonsense reasoning under ambiguity and uncertainty via SENF and TransWeave.

MIT creates CRESt platform that uses machine learning, diverse data sources, and robotic testing to speed up finding new materials for energy tech.