Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
201 articles
Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional materials that may host unusual... Source: phys.org
Applications in industrial and smart-infrastructure Wireless sensor networks (WSNs) in the field are increasingly expected to employ predictive intelligence... Source: 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... Source: techxplore.com
A team of researchers at the Tokyo University of Science has achieved something that materials scientists have been seeking for decades: the successful... Source: digitaljournal.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. Source: sciencedaily.com
A machine learning program that identified patients overdue for colorectal cancer screening helped increase screening rates and was associated with... Source: medicalxpress.com
An international research consortium has demonstrated that machine learning can dramatically accelerate the discovery of superconducting materials, using. Source: theaiinsider.tech
A key feature of the Precision Nutrition and Health approach is the ability to tailor interventions to individual variability using multimodal data from... Source: nature.com
AI and machine learning genomics tools now power variant calling, genome annotation, and population studies. Explore the key methods reshaping research. Source: technologynetworks.com
Every year, the International Conference on Machine Learning (ICML) reveals where thousands of AI researchers have decided to put their work. Source: blogs.nvidia.com
We introduce TopoPrimer, a framework that makes the global topological structure of the series population an explicit input to any… Source: 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**... Source: letsdatascience.com
How Google's TabFM brings zero-shot foundation models to tabular data, from XGBoost and TabPFN to production and governance. Source: medium.com
Designing a custom protein traditionally required advanced computer programming skills alongside deep biological expertise, keeping sophisticated... Source: futura-sciences.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... Source: techtimes.com
Reliable estimation of photovoltaic (PV) power generation in arid regions demands integrated understanding of radiative, meteorological,... Source: nature.com
Large language models can exhibit emergent reasoning behaviors, often manifested as recurring lexical patterns (e.g., “wait,” indicating… Source: machinelearning.apple.com
Sarvin Moradi defended her PhD thesis at the Department of Electrical Engineering on July 2nd. Source: tue.nl
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