How is an AI different from a neural net? How can a machine learn? What is an AGI? And will DeepSeek really change the game?

Researchers from the Henry and Marilyn Taub Faculty of Computer Science have developed an AI-based method that accelerates ...

X AI conference was trust — namely, how to build trusted outcomes from a powerful but inherently probabilistic technology.

Bayesian statistics in contemporary data science signify a paradigm revolution in probabilistic argumentation that provides ...

Powering artificial intelligence comes with a massive energy bill attached. Professor Wolfgang Maaß and his research team at ...

Tech giants back committee creating framework for data usage by AI tools; but will the AI pioneers pay attention?

A strategic governmental steer on AI, putting guidance above rigid legislation offers the adaptability needed to innovate responsibly, contends Kiteworks executive John Lynch.

This important study examined orientation representations along the visual hierarchy during perception and working memory. The authors provide results suggesting that during working memory there is a ...

In a recent Engineering article, researchers Jinghai Li and Li Guo discuss the future of data science and its significance for AI. They point out the challenges in scientific data systems, suggest ...

which are crucial for precise data representation. In this study, we propose CLHi-MTS, a novel Contrastive Learning-Based Hierarchical Framework for Masked Medical Time-Series Modeling that leverages ...

Second, based on data-driven, the Gaussian process regression (GPR) model is established, and its hyperparameter is optimized by ICOA so as to regress and compensate the nongeometric errors of the ...