Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
319 articles
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
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
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
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
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
A LessWrong linkpost published June 18, 2026 reports findings from research on using reinforcement learning applied to realistic scenarios targeting... Source: letsdatascience.com
AI-enabled antibiotic discovery proves effective at identifying new chemical structures and targets in the constant fight against antibiotic-resistant... Source: wyss.harvard.edu
Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural networks. Source: scitechdaily.com
A team led by James J. Collins published a study in Science Translational Medicine reporting that a deep learning pipeline discovered two compounds active... Source: letsdatascience.com
The hardware isn't new, but a UC Davis research team's machine learning-powered method of translating brain activity in an ALS patient into sentences with... Source: theregister.com