Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
204 articles
A comprehensive survey titled "Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms" appears on arXiv as... Source: letsdatascience.com
Gemini for Science is a new collection of science tools and experiments to expand the scale and precision of scientific exploration. Source: blog.google
Thirty to forty qubits is all it took to reveal a clear advantage for quantum machine learning, a threshold previously thought far beyond reach. Source: quantumzeitgeist.com
UC San Diego researchers report substantial reductions in symptoms of depression by using machine learning to tailor behavioral interventions based on data... Source: today.ucsd.edu
Summary: A pioneering, first-of-its-kind study demonstrated that a personalized, machine-learning-guided lifestyle coaching program can nearly double the... Source: neurosciencenews.com
A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when performing old tasks. Source: techxplore.com
The past week or so, Anthropic's gated Mythos model remains a news fixture, drawing White House policy attention, a Mozilla proof point and a somewhat... Source: rdworldonline.com
For more than a decade, a fundamental mystery has surrounded graphene—the one-atom-thick "wonder material" known for its exceptional strength, conductivity,... Source: phys.org
We developed a Geneformer model with an expanded pretraining dataset of more than 100 million single-cell human transcriptomes. The increased data diversity... Source: nature.com
Apple has published four recordings and a research recap from its 2026 Workshop on Privacy-Preserving Machine Learning & AI. Source: 9to5mac.com
Most materials are predictable. Push them, bend them, heat them, and they respond the same way every time. Robots are different, but they usually need a... Source: ecoticias.com
Disney Research published a paper and demo video describing **ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting**, a system that adapts... Source: letsdatascience.com
The publishers of the journal Nature retracted a much-touted study that claimed AI had a "large positive impact" on learning. Source: futurism.com
Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces. Source: neurosciencenews.com
Current critic-less RLHF methods aggregate multi-objective rewards via an arithmetic mean, leaving them vulnerable to constraint neglect:… Source: machinelearning.apple.com
At the end of 2024, a paper titled "Streaming Deep Reinforcement Learning Finally Works" (arXiv:2410.14606) sparked extensive discussions in the academic... Source: eu.36kr.com
Normalizing Flows (NFs) are a classical family of likelihood-based methods that have received revived attention. Recent efforts such as… Source: machinelearning.apple.com
image: Design Framework for Adaptive Randomization with Interim Analyses. view more. Credit: Y.Park and S.Nycklemoe, “MARGO: Machine Learning-Assisted... Source: eurekalert.org
A new study from VIB and KU Leuven has revealed that Parkinson's disease comprises five distinct molecular subtypes, each requiring tailored therapeutic... Source: drugtargetreview.com
A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, helping explain why a single... Source: medicalxpress.com