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

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 ...

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data.

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

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

Overview 7 computer science courses that are structured to provide you with a deeper understanding of concepts and practical hands-on experience.A wide range of ...

Researchers at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk ...

As Data Science Salon celebrates 10 years, the community unveils a new brand built for the next era of applied AI ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...