ADT Harnesses Machine Learning and Inverse Design to Deliver a New Era of Pump Efficiency

Discover how ADT is transforming pump design with Machine Learning and 3D Inverse Design to boost efficiency and cut ...
Phys.org

What honey bee brain chemistry tells us about human learning

A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the first time identified specific patterns of brain chemical activity that predict ...
IEEE

Enhanced Model Poisoning Attack and Multi-Strategy Defense in Federated Learning

Abstract: As a new paradigm of distributed learning, Federated Learning (FL) has been applied in industrial fields, such as intelligent retail, finance and autonomous driving. However, several schemes ...
VentureBeat

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
TechCrunch

Google rolls out Gemini Deep Think AI, a reasoning model that tests multiple ideas in parallel

Google DeepMind is rolling out Gemini 2.5 Deep Think, which, the company says, is its most advanced AI reasoning model, able to answer questions by exploring and considering multiple ideas ...
Entrepreneur

Want to Own Multiple Franchise Locations? These Multi-Unit Champions Share Their Best Strategies.

In franchising, the growth opportunities are endless. You could buy one unit — and then, if you succeed, you could buy a second. Then a third. Then onward into the hundreds or even thousands! The ...
International Council on Clean Transportation

U.S. multi-pollutant emissions standards for model years 2027 and later light-duty and medium-duty vehicles

The U.S. multi-pollutant emissions standards for model years 2027 and later apply to light-duty vehicles (LDVs) and medium-duty vehicles (MDVs) and require tailpipe carbon dioxide (CO 2) emission ...
IEEE

Enhancing Collaborative Learning Environments: A Multi-Feature Fusion Model for Disruptive Talk Detection

Abstract: Effective detection and identification of disruptive talk is of significant practical value for improving collaborative learning quality and optimizing the online education environment.
C&EN

Attention-Enhanced Multi-Task Deep Learning Model for Classification and Segmentation of Esophageal Lesions

Pathophysiology Department, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China Tianjian Laboratory of Advanced Biomedical Sciences, Zhengzhou University, Zhengzhou, Henan ...