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

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

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 ...

Overview:Machine learning bootcamps focus on deployment workflows and project-based learning outcomes.IIT and global programs provide flexible formats for appli ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.