Lamar Institute of Techonology adds mobile X-ray system to expand radiologic technology training

LIT enhances its Radiologic Technology program with a new mobile X-ray system, boosting student readiness for clinical ...
IEEE

Machine-Learning-Based Adaptive Anomaly Detection for Control Feedback Interferences in Solid-State Transformers

Abstract: Solid-state transformer (SST)-based power substations have emerged as a pivotal innovation for integrating distributed generation and energy storage systems within modern grid. However, SSTs ...
Morning Overview on MSN

New plasma accelerator boosts energy and brightness at once

A new kind of plasma accelerator has cleared a hurdle that has dogged the field for decades, lifting electron energy and beam ...
AZoMining on MSN

GOG-RT-DETR: A breakthrough in graphite ore grade detection

GOG-RT-DETR improves graphite ore grade detection, combining deep learning innovations for faster, more accurate mineral ...
GitHub

State-of-the-art Machine Learning for the Web

Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run ...

Researchers build plasma accelerator that boosts electron energy and brightness at the same time

Researchers from the Department of Energy's SLAC National Accelerator Laboratory and the University of California, Los ...
IEEE

Multi-Agent Transformer-Based Workload Allocation and Worker Selection in Distributed Coded Machine Learning

Abstract: Machine learning (ML) has been used in a wide range of applications. In recent years, the growing complexity of ML models has led to substantial computational demands. Distributed Machine ...