Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
90 articles
For practitioners building or evaluating forecasting systems: the proposal argues that applying reinforcement learning to large historical web caches... letsdatascience.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... techtimes.com
Photonic quantum processing unit for quantum and classical machine learning tasks. A collaborative research group consisting of quantum information... quantumcomputingreport.com
Sudden cardiac death is, in theory, preventable with defibrillators. But every year, many patients die without defibrillators because doctors fail to... nature.com
Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean. 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… machinelearning.apple.com
A LessWrong linkpost published June 18, 2026 reports findings from research on using reinforcement learning applied to realistic scenarios targeting... letsdatascience.com
Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural networks. scitechdaily.com
AI-enabled antibiotic discovery proves effective at identifying new chemical structures and targets in the constant fight against antibiotic-resistant... wyss.harvard.edu
A team led by James J. Collins published a study in Science Translational Medicine reporting that a deep learning pipeline discovered two compounds active... 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... theregister.com
Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need for expensive simulations. sciencedaily.com
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples,... ascopost.com
Shengpu Tang, Emory assistant professor of computer science, found a flaw in many peer-reviewed studies using the AI method known as reinforcement learning... news.emory.edu
Researchers developed a quantum neural network training framework that enabled direct gradient-based optimization on quantum hardware. thequantuminsider.com
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples,... medicalxpress.com
The partnership with Google.org will generate genomic datasets designed for machine learning models used in biological research. edtechinnovationhub.com
Our next generation of Apple Intelligence is centered around our users, integrated deeply into our operating systems, and powered by a bold… machinelearning.apple.com
A breakthrough in materials science AI marks a significant shift in how research facilities can approach autonomous discovery. According to a study... labmanager.com
Google's Co-Scientist and Futurehouse's Robin can help scientists generate hypotheses, design experiments and analyse data. chemistryworld.com