Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
204 articles
TAP framework decouples physical and semantic learning for Vision-Language-Action models, achieving expert performance with minimal labeled data and... Source: startuphub.ai
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression. Source: medscape.com
Reliable estimation of photovoltaic (PV) power generation in arid regions demands integrated understanding of radiative, meteorological,... Source: nature.com
Apple is presenting new research at the International Conference on Machine Learning (ICML 2026), which takes place in person in Seoul… Source: machinelearning.apple.com
Diffusion (Large) Language Models (dLLMs) now match the downstream performance of their autoregressive counterparts on many tasks, while… Source: machinelearning.apple.com
The problem of domain generalization concerns learning predictive models that are robust to distribution shifts when deployed in new… Source: machinelearning.apple.com
Degraded face videos have long plagued digital communication—from glitchy video calls to blurry archival footage. Now, researchers have delivered the first... Source: eurekalert.org
One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests. Rather, researchers combine readings... Source: eos.org
An international research consortium announced on June 29 that it has experimentally confirmed two previously unknown superconductors — the first materials... Source: techtimes.com
New research led by Laura Balzano and Qing Qu establishes a mathematical framework explaining how LLMs generalize to novel, out-of-distribution tasks. Source: ece.engin.umich.edu
We've seen a massive shift in how people handle time-series forecasting since we launched TimesFM. Now, we're bringing that same "zero-shot" logic to... Source: research.google
Researchers have introduced a new framework titled "Environment as a Nexus" to improve how machine learning models perform when encountering data from... Source: geneonline.com
Metastatic renal cell carcinoma remains clinically challenging because of heterogeneous outcomes and limited predictive biomarkers for immunotherapy. Source: nature.com
An international group of quantum researchers demonstrated how machine learning may be used to filter a nearly endless number of possible material... Source: azoquantum.com
The 43rd International Conference on Machine Learning opens in Seoul, South Korea on Monday, July 6, bringing with it a submission record that more than... Source: techtimes.com
For practitioners building or evaluating forecasting systems: the proposal argues that applying reinforcement learning to large historical web caches... Source: letsdatascience.com
Photonic quantum processing unit for quantum and classical machine learning tasks. A collaborative research group consisting of quantum information... Source: quantumcomputingreport.com
Sudden cardiac death is, in theory, preventable with defibrillators. But every year, many patients die without defibrillators because doctors fail to... Source: nature.com
Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean. Source: eos.org
When annotators disagree on a label, the disagreement itself carries signal—and the number of annotators needed to capture it depends on the… Source: machinelearning.apple.com