IEEE

A Temperature-Aware Operating Model of EV Battery for Resilient Residential Microgrids in Frigid Weather

Abstract: Electric vehicle batteries (EVBs) are important resilient resources for residential microgrids (RMGs) in extreme weather such as a cold wave. However, the existing EVB operating models ...
Government Technology

Using Machine Learning to Understand College Closures

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
Columbia University School of Professional Studies

Teaching and Learning in the Age of AI

At the inaugural Columbia SPS Faculty Summit on AI Teaching and Learning, faculty and industry experts explored AI’s emerging ...
SDxCentral

AI inferencing will define 2026, and the market's wide open

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...
EurekAlert!

ETRI releases no-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
IEEE

A Review on Bayesian Methods for Uncertainty Quantification in Machine Learning Models Enhancing Predictive Accuracy and Model Interpretability

Abstract: This research study reviews the statistical fundamentals of machine learning with a focus on Bayesian methods to quantify the uncertainty in model predictions. Bayesian statistics provides a ...
Forbes

Designing The Agentic Operating Model For The Era Of AI Agents And Continuous Intelligence

While generative AI has helped unlock creativity, agentic AI is now unlocking autonomy. However, the real transformation lies not in the technology, but in how enterprises design for it. As ...