Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
101 articles
Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional materials that may host unusual... phys.org
A team of researchers at the Tokyo University of Science has achieved something that materials scientists have been seeking for decades: the successful... digitaljournal.com
Applications in industrial and smart-infrastructure Wireless sensor networks (WSNs) in the field are increasingly expected to employ predictive intelligence... nature.com
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to achieve artificial general... techxplore.com
Scientists have combined machine learning with quantum physics to discover two new superconductors and create a much faster way to search for many more. sciencedaily.com
An international research consortium has demonstrated that machine learning can dramatically accelerate the discovery of superconducting materials, using. theaiinsider.tech
A machine learning program that identified patients overdue for colorectal cancer screening helped increase screening rates and was associated with... medicalxpress.com
A key feature of the Precision Nutrition and Health approach is the ability to tailor interventions to individual variability using multimodal data from... nature.com
Every year, the International Conference on Machine Learning (ICML) reveals where thousands of AI researchers have decided to put their work. blogs.nvidia.com
AI and machine learning genomics tools now power variant calling, genome annotation, and population studies. Explore the key methods reshaping research. technologynetworks.com
We introduce TopoPrimer, a framework that makes the global topological structure of the series population an explicit input to any… machinelearning.apple.com
ReContext, an arXiv method submitted on **July 2, 2026**, improves long-context LLM reasoning by replaying query-relevant evidence inside a **128K-token**... letsdatascience.com
Designing a custom protein traditionally required advanced computer programming skills alongside deep biological expertise, keeping sophisticated... futura-sciences.com
How Google's TabFM brings zero-shot foundation models to tabular data, from XGBoost and TabPFN to production and governance. medium.com
The world's largest machine learning conference opens Monday in Seoul, South Korea — and for the first time in the 43rd-year history of the International... techtimes.com
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression. medscape.com
Reliable estimation of photovoltaic (PV) power generation in arid regions demands integrated understanding of radiative, meteorological,... nature.com
Sarvin Moradi defended her PhD thesis at the Department of Electrical Engineering on July 2nd. tue.nl
TAP framework decouples physical and semantic learning for Vision-Language-Action models, achieving expert performance with minimal labeled data and... startuphub.ai
Apple is presenting new research at the International Conference on Machine Learning (ICML 2026), which takes place in person in Seoul… machinelearning.apple.com