Phys.org

Quantum machine learning: Small-scale photonic quantum processor can already outperform classical counterparts

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
Nature

Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning

Accurate and high-resolution climate simulations are of crucial importance in projecting the climatic, hydrological, ecological and socioeconomic impacts of anthropogenic climate change. Precipitation ...
TMCnet

Domino Data Lab Named a Visionary for the Third Consecutive Year in the 2026 Gartner® Magic Quadrant™ for AI Platforms for Data Science and Machine Learning

Recognized for its Ability to Execute and Completeness of Vision.
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Nature

Machine learning predicts meter-scale laboratory earthquakes

In recent years, there has been a growing interest in utilizing machine learning (ML) to investigate the predictability of shear-slip failures, known as laboratory quakes, in centimeter-scale ...