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 ...

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 ...

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 ...

Ineffable Intelligence Ltd., a startup led by former Google DeepMind principal research scientist David Silver, is reportedly raising $1 billion in funding.

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

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

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

Perfect Match is a student-developed matchmaking service for Cornell community members that matches participants with possible romantic partners for Valentine’s Day using machine learning algorithms.

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

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.