The University of Texas Medical Branch study, "Improving Early Detection of Hypertrophic Cardiomyopathy Using Viz-HCM: A Quality Improvement Initiative Leveraging Artificial Intelligence-Assisted EKG ...

NEW YORK, Oct 1 (Reuters) - "I'm a warlord now, bitch!" Steven Simoni, wearing a $4,000 Celine track suit unzipped to reveal a bare chest and a silver chain, was holding court at a recent film ...

In this May 3, 2023, file photo, students walk past the University Union building at the University of North Texas in Denton. 9:05 p.m. Sept. 19, 2025: Updated with a statement from UNT. Texas ...

Sales of GPU-accelerated servers are still hurting margins at Hewlett Packard Enterprise, as they are doing at all OEMs and probably the ODMs, too, but the good news is that they will be hurting less ...

Mr. Currell, a management consultant, interviewed dozens of Disney enthusiasts, historians and experts and visited Walt Disney World, which he first experienced in 1977. Ms. Chapdelaine, a ...

Abstract: This paper addresses the critical need for elctrocardiogram (ECG) classifier architectures that balance high classification performance with robust privacy protection against membership ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...

Before we all had what are essentially little powerful computers in our pockets at the ready to solve any problem via search engines and AI, analog machines combined with pen-and-paper math was the go ...

My husband is incredibly routine-driven. Every morning, he opens the blinds, feeds the cats, brews my coffee, and completes his workout, all before I even open my eyes. He doesn't belong to a gym, but ...

Abstract: The electrocardiogram (ECG) is an important tool in diagnosing heart diseases. In this study, we introduce ECGNet a customized deep learning model that utilizes advanced activation functions ...