Abstract: Stochastic Gradient Descent (SGD) represents one of the most prevalent optimization algorithms in machine learning. To accelerate the SGD algorithm, a series of parallel SGD algorithms have ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Abstract: With the rapid development of SAR imaging technology and its expanding applications across missile-borne, airborne and spaceborne platforms, higher requirements were imposed on the real-time ...

An 8-layer stack of bulk RRAM runs a continually-learning neural network ...

Course discussion and questions are available on Ed for students in the class. This is also where the syllabus (class policies), labs, and recitation notes are kept. Class, recitation, office hour, ...

SHENZHEN CITY, GUANGDONG PROVINCE, CHINA, February 9, 2026 /EINPresswire.com/ -- The audio processing industry has ...

A car body damage scanner is no longer just a luxury for high-end OEMs; it is a critical tool for transparency. These systems utilize high-resolution camera arrays and AI algorithms to identify dents, ...

Creates unit tests using the MATLAB Testing Framework. Generates test classes, test methods, and test suites following best practices: ...

Researchers developed an insect-scale artificial compound eye, integrating vision and chemical sensing for enhanced navigation in drones and autonomous systems.

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Christmas decorations arrive like jolly ambassadors from a more affordable North Pole, where elves apparently shop wholesale and pass the savings onto you. Valentine’s Day, Easter, Fourth of July—no ...