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Machine learning is a branch of artificial intelligence that enables computers to learn patterns and make decisions from data without being explicitly programmed for every scenario. Instead of following rigid instructions, machine learning systems improve their performance through experience, much like how humans get better at recognizing faces or understanding language the more they encounter examples. Scientists use machine learning to analyze vast amounts of data—from medical images to climate patterns—to uncover insights and make predictions that would be impossible to achieve through traditional methods alone.
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Biology
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Latest research on Machine learning
Physics
Scientists reveal how patchy soft materials move and respond to forces
Physics
Controlling unknown quantum states via data-driven state representations
Physics
AI Models Successfully Detect Methane Plumes from Space-Based Satellite Data
Physics
Data-driven model captures dynamics of turbulence at scale
Interdisciplinary
Tiny AI chip shrinks chemical analysis tool to sand-grain size
Chemistry
A dataset of 1.2 million molecules with DFT-level quantum chemical annotations for molecular representation learning
Physics
Measuring multi-site pulse transit time with an AI-enabled mmWave radar
Physics
Development of a model for design radiation shielding composite aprons using machine learning
Chemistry
Machine learning–driven predictive modeling and process optimization of one-pot biomass conversion to FDCA via heterogeneous catalysis
Biology
Machine Learning and Computational Methods in Biology
Medicine
Digital biomarkers for insulin resistance screening in daily life
Medicine
Machine learning personalizes depression treatment with the help of wearable technology
Biology
Machine-Learning-Enhanced Non-Invasive Testing for MASLD Fibrosis: Shallow-Deep Neural Networks Versus FIB-4, Tabular Foundation Models, and Large Language Models
Medicine
Predicting 30-Day Heart Failure Readmissions Using Machine Learning: Insights From the Kansas Health Information Network (KHIN)
Physics
NASA-developed AI Could Help Track Harmful Algae
Interdisciplinary
Building AI models that understand chemical principles
Physics