Epicure: Mapping the Culinary and Chemical Geometry of Food
Epicure uses a massive multilingual recipe dataset and chemical graphs to create specialized ingredient embeddings that bridge the gap between culinary practice and food chemistry.
The use of artificial intelligence and machine learning to accelerate scientific discovery, from generating hypotheses to proving theorems and analyzing experimental data.
Epicure uses a massive multilingual recipe dataset and chemical graphs to create specialized ingredient embeddings that bridge the gap between culinary practice and food chemistry.

OpenAI's reasoning model has achieved a historic mathematical breakthrough by autonomously disproving a long-standing conjecture by Paul Erdős.

ChatGPT 5.5 Pro has demonstrated the capacity to generate original, PhD-level mathematical proofs, signaling a transformative shift toward human-AI collaboration in research.
AI in academia risks replacing the essential cognitive struggle of learning with efficient output, creating a generation of researchers who can produce results but lack true scientific understanding.

Anthropic researcher Nicholas Carlini used Claude Code to uncover a 23-year-old Linux kernel vulnerability, signaling a new era of AI-driven security research.

Meta is open-sourcing AI tools and data to help the U.S. construction industry transition to sustainable, domestically produced concrete through rapid material optimization.
AI is a natural evolution of human intellectual tools that must be developed with a human-centered focus to expand our capacity for thought and solve complex problems.

Frontier AI models have solved an open problem in hypergraph Ramsey theory, leading to a new mathematical publication.

Nectome is offering brain preservation to terminally ill patients with the hope of future digital or physical mind reconstruction.

Scaling AI research agents with 16 GPUs enables 9x faster model optimization and the emergence of sophisticated, parallelized experimental strategies.
The White House is dismantling the premier U.S. climate research lab, sparking a scramble for its assets and raising concerns about the future of atmospheric science.

An autonomous framework where AI agents independently iterate on and optimize LLM training code within fixed time budgets.
Don Knuth details how Claude Opus 4.6 successfully solved a difficult graph theory conjecture for odd m through iterative algorithmic discovery and creative deduction.

GPT-5.2 has derived and proven a new formula for gluon scattering amplitudes, overturning a long-held assumption in theoretical physics.

Gemini 3 Deep Think gets a rigor-boosted upgrade that pairs state-of-the-art reasoning with practical tools for scientists and engineers, now available to subscribers and via early API access.

Particle physics isn’t dead — it’s in a difficult, slow, and uncertain phase where progress may come from precision, new experimental fronts, and fresh theory (with some help from AI), but without guarantees.

Prism unifies AI-assisted scientific writing and collaboration in a free, LaTeX-native workspace powered by GPT‑5.2.

AI has moved from chatting to doing—Gemini 3 acts like a capable digital coworker that plans and builds while you manage.
AI, exemplified by AlphaFold, turns scattered experimental data into rapid, accurate scientific insight, accelerating discovery and improving human health.

A large-scale, transformer-only, flow-matching approach makes protein folding simpler while staying competitive and practical.

AI-powered, constraint-aware inverse design is the catalyst to turn metamaterials’ exotic physics—up to and including cloaking—from simulation into manufacturable, high-impact technologies.