The Future of Experiential Learning: Stukent and Copient AI Partner to Offer AI Practice in University Business Courses

Students using Stukent’s industry-leading Simternships will now develop critical business communication skills with ...

Machine Learning–Enabled Web Development for Manufacturing Delivers 70% Increase in User Subscriptions

Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...

HydroGraphNet boosts watershed predictions of daily flow and nitrogen in sparse data regions

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...
EurekAlert!

Knowledge-guided graph machine learning for spatially distributed prediction of daily discharge and nitrogen export dynamics

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...
IEEE

Subgraph-Driven Lightweight Federated Learning for Spatiotemporal Cellular Traffic Prediction

Abstract: The rapid expansion of mobile communication networks has led to a surge in cellular traffic, highlighting the need for advanced prediction models to improve network performance. Federated ...
Seeking Alpha

VoltaGrid and Halliburton Announce Strategic Collaboration to Deliver Distributed Power Solutions for the Global Data Center Industry

HOUSTON--(BUSINESS WIRE)-- VoltaGrid, a leading provider of distributed power and energy solutions, and Halliburton (NYSE: HAL), a global leader in energy services and technology, have signed an ...
Seeking Alpha

VoltaGrid and Halliburton Announce Strategic Collaboration to Deliver Distributed Power Solutions for the Global Data Center Industry

HOUSTON, Oct. 20, 2025 (GLOBE NEWSWIRE) -- VoltaGrid, a leading provider of distributed power and energy solutions, and Halliburton (NYSE: HAL), a global leader in energy services and technology, have ...
IEEE

Federated ViT: A Distributed Deep Learning Framework for Skin Cancer Classification

Abstract: Skin cancer remains one of the most prevalent and life-threatening diseases globally, where early and accurate diagnosis is crucial for effective treatment and improved patient outcomes.