In a study published earlier this month in the Journal of Cosmology and Astroparticle Physics, cosmologists trained an AI ...

Latency, bandwidth, and fidelity all matter when you’re chasing milliseconds.

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need ...

A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer ...

Flexcompute, the physics company, today introduced the first practical fully autonomous agent-driven loop for end-to-end photonic chip design. AI agents now propose designs, run physics simulations, ...

Captures RF design experience, generating structured data ready for AI workflows ...

Standardizing calculations of the helium byproducts generated in advanced fission and fusion energy system materials can increase reactor safety and longevity, according to a study led by University ...

Actively Developing: In the long term, we aim to develop a comprehensive physics simulator focused on real-to-sim, serving as an easy-to-use platform for XR, VR, and robotics applications. Feel free ...

ManiDreams implements a planning paradigm where a virtual constraint (cage) bounds object states during action selection. At each timestep, the framework generates candidate actions, predicts outcomes ...

Learn how physics and programming come together in this Python simulation of elastic collisions! In this tutorial, we explore the fundamental principles of momentum and energy conservation while ...

Abstract: Superconducting detectors with sub-eV energy resolution have demonstrated success setting limits on Beyond the Standard Model (BSM) physics due to their unique sensitivity to low-energy ...