The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
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