Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

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

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

The University of Louisiana at Lafayette unveils a new PhD blending AI, data science and leadership, with online and ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

IMSA mentioned machine learning for diagnostics, wireless networking and RFID applications as a potential area for discussion ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.