Machine Learning
4 articles
Four Ways Scientists See Inside Rocky Exoplanets—and Why None of Them Sees Clearly
Scientists infer the interiors of rocky exoplanets using limited data like mass and radius, facing a core challenge of parameter degeneracy where different compositions yield identical measurements. This article compares mass-radius relationships, Bayesian inference, and machine learning models, explaining why none provide a definitive view.
The AI-Driven Workflow for Accelerating Sustainable Energy Materials Discovery
Artificial intelligence is revolutionizing sustainable energy materials discovery by compressing years of trial-and-error into weeks. AI-driven predictive and generative models intelligently navigate vast chemical spaces and guide experimentation within a closed-loop workflow, accelerating the development of crucial technologies like batteries and catalysts.
From Variant Calling to Drug Discovery: How AI Is Reshaping Genomics Research
Artificial intelligence is fundamentally reshaping genomics research by enabling the analysis of massive sequencing data volumes, accelerating drug discovery, and advancing personalized medicine. Machine learning tools are essential for extracting meaningful insights from exabyte-scale datasets, transforming everything from variant calling to clinical decision-making.
Advanced Geological Imaging: From Satellites to Microscopes, and the Computation That Ties Them Together
Advanced geological imaging encompasses techniques from satellite remote sensing to microscopic analysis, all unified by machine learning and computation to interpret vast datasets. These methods provide insights into Earth's surface, subsurface, and composition across radically different scales.