Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

Generative AI is becoming ubiquitous in everyday life. Large language models like ChatGPT can help answer questions, write email, and solve problems at seemingly lightning speed, pulling from enormous ...

Researchers are advancing large language models (LLMs) to tackle complex physics reasoning, from high school problems to advanced simulations. Techniques like reinforcement learning with human-AI ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...

A ripple tells you something happened, but not exactly what. That is the core problem behind a hard class of equations that ...

(via Sabine Hossenfelder) Progress in the foundations of physics is moving slowly. And yet it moves. Today I look at the five biggest problems in physics, what their status is, and how long it will ...

When my cofounder and I were accepted into a competitive startup accelerator program in fall 2025, we applied with an ambitious idea: to build an “AI scientist” for machine learning research. What ...

It's a well-known fact that quantum calculations are difficult, but one would think that quantum computers would facilitate the process. In most cases, this is true. Quantum bits, or qubits, use ...