The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

Priya Hays, Hays Documentation Specialists, LLC, discusses biomarker discovery through artificial intelligence and ...

Discover the AI in sports betting that powers real-time odds, personalizes your experience, and enhances security. Learn how algorithms run the show.

How are AI Agents transforming DeFi? From autonomous risk management to liquidity optimization and smart contract security, ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

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