Participants wait to enter this year's International Conference on Machine Learning, a premier international forum in machine ...

Across global manufacturing sectors, particularly within the rapid infrastructure expansions of Belt and Road countries, the demand for precision-engineered architectural stone has escalated. To ...

The Deployed Data Scientist: MLOps and Analytics in Practice, co-authored by Ankit Anand, Dr. Scott Burk, and Kinshuk Dutta, is helping data professionals address one of the industry’s most pressing ...

Get confidential computing explained. Learn how hardware-enforced trusted execution environments (TEEs) fully protect ...

Warm water from the deep Southern Ocean has been steadily creeping closer to Antarctica’s ice shelves over the past four ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

Combining Capgemini's enterprise AI expertise with Duality's privacy-enhancing technologies to unlock trusted AI, secure collaboration, and digital sovereignty HOBOKEN, N.J., June 30, 2026 /PRNewswire ...

Las Vegas, NV - June 29, 2026 - PRESSADVANTAGE - Press Advantage, a leading press release distribution service, today ...

AI models heat vulnerability across LA & San Bernardino counties. Nonprofit Conservly has distributed 200 heat kits to ...

Abstract: This article provides a comprehensive survey of aggregation strategies in federated learning (FL). This decentralized machine learning (ML) paradigm enables multiple clients to ...

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...