Toward experiment-guided AlphaFold: Researchers overcome AI tool's single-conformation limitation

The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...
Tech Times

NVIDIA AI Trained Itself on a 30B Model: Corrected Its Own Broken Metric Mid-Run

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...
techtimes

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
XDA Developers on MSN

I built repeatable agentic AI workflows that code without me, and the results surprised me

All my agents needed was a little bit of codified workflows to follow ...
SciTech Daily

Physicists Solve a “Quantum-Only” Problem Using an Ordinary Laptop

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...
AZoQuantum

Quantum Elements and USC Advance Noisy Quantum Circuit Simulation with New Quantum Monte Carlo Algorithm

Quantum Elements and USC today announced the publication of a new Quantum Monte Carlo algorithm in Physical Review Letters, ...