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 data preprocessing. If you''ve ever built a predictive model, worked on a ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

This article explains how machine learning shapes safety, moderation, and user experience on Girlswithlove, and what users should know when dating on algorithm-driven platforms.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Learn how AI-driven personalization transforms customer loyalty. Explore predictive modeling and data strategies for ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Competition law has long treated communication between competitors as the lifeblood of collusion. The more transparent rivals become about pricing intentions, the greater the risk of coordinated ...