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AI in Web3.0: Leveraging Machine Learning for Better Fraud Detection and Personalization

Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...
News-Medical.Net

Global analysis uses machine learning to map drivers of cancer outcomes

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
IEEE

Cost-Efficient Federated Learning in Massive IoT: A Physics-Inspired Graph Learning Approach

Abstract: Federated learning emerges as a key enabler toward pervasive intelligence across IoT ecosystems with provable privacy guarantees. While recent efforts on client selection have been made for ...
EurekAlert!

Chongqing Medical University team: dual-branch graph attention network enables personalized prediction of ECT efficacy in adolescent depression

Major Depressive Disorder (MDD) is a leading cause of disability among adolescents, yet the efficacy of Electroconvulsive ...

Timbergrove LLC Joins Greentown Labs Houston to Advance Industrial Climatetech Solutions

HOUSTON, TX - January 06, 2026 - PRESSADVANTAGE - Timbergrove LLC, a Houston-based industrial technology studio ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...