More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

Abstract: We are perceiving and communicating with the world in a multisensory manner, where different information sources are sophisticatedly processed and interpreted by separate parts of the human ...

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 ...

Spread the love“`html The tech job market trends are constantly evolving, and as we step into June 2026, a significant transformation is taking place. If you’re a professional in the tech industry, ...

AI systems are built on extraction, bias and surveillance, raising urgent questions of consent, labour, accountability and ...

Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...