Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
Data Center Frontier

Nvidia’s $100 Billion OpenAI Bet Shrinks and Signals a New Phase in the AI Infrastructure Cycle

Nvidia’s reported pullback from a proposed $100 billion OpenAI investment tied to the Stargate AI infrastructure buildout signals a shift toward capital discipline in the ...
EurekAlert!

Destination Earth digital twin to improve AI climate and weather predictions

An agreement on the third implementation phase of Destination Earth (DestinE), the European Commission’s initiative to ...
Data Center Frontier

From Silicon to Cooling: Dell’Oro Maps the AI Data Center Buildout

New research from Dell’Oro Group shows how AI is impacting the entire data center infrastructure stack, from record ...
IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Frontiers

Integrating phase-rectified signal averaging with machine learning to predict stroke-associated infections: a retrospective cohort study

Background: Stroke-associated infection (SAI) adversely affects the prognosis of acute ischemic stroke (AIS) patients, contributing to poorer functional outcomes and survival. The absence of validated ...
Arkansas Democrat-Gazette

Two charged with possessing machine gun

Two people, including one minor, were arrested by the Little Rock Police Department on Sunday night on gun charges, according to an arrest report. Daymon Franklin, 19, and Jamarcus Mason, 17, were ...
IEEE

The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach

Abstract: Traffic flow imputation aims to estimate missing flow values within a traffic network. While machine learning methods have been widely applied to this challenge and outperformed conventional ...