Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
IEEE

Classification of Equatorial Ionospheric Irregularities Using Unsupervised Machine Learning Based on Spatiotemporal ROTI Keograms

Abstract: Equatorial ionospheric irregularities, particularly those associated with equatorial plasma bubbles (EPB), can significantly disrupt satellite navigation and communication systems. As the ...
IEEE

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique

Abstract: The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into ...
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
News Medical

Machine learning models can help diagnose ALS earlier from a blood sample

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. The ...
Wall Street Journal

The Curriculum Flowchart That Has Texas Professors Up in Arms

A controversy is swirling at a Texas university. The trigger? A flowchart. On Dec. 1, the new chancellor of the Texas Tech University system sent professors a diagram laying out a chain of approval ...