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

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

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

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

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 ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Interview Kickstart today announces the publication of its comprehensive career guide titled "How to Transition from Software Engineer to Machine Learning Engineer," a detailed resource created to ...

Explore the fundamental role of mathematics in Artificial Intelligence and Machine Learning. Understand how linear algebra, ...

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