Federated learning (FL), as a promising machine learning paradigm for large-scale distributed data, faces two security challenges of privacy and robustness: the transmitted model updates potentially ...

This key step in the machine-learning process would allow these models to be further fine-tuned for specific tasks. Although SEA-LION continues to rely on Google’s architecture for its pretraining, ...

Mills said the point of this trip was to make sure Canadians know Maine is open for business.

Hardware Processors Former CEO Pat Gelsinger reveals he was 'not given the opportunity' to finish his job at Intel as he predicts the future of computing will be a 'trinity' of traditional, AI and ...

Cough is a protective reflex conveying information on the state of the respiratory system. Cough assessment has been limited so far to subjective measurement tools or uncomfortable (i.e., non-wearable ...

It is very likely all the roughly 15,000 centrifuges operating at Iran's biggest uranium enrichment plant at Natanz were badly damaged or destroyed because of a power cut caused by an Israeli ...

Business schools are redesigning their curricula to produce graduates who interpret machine learning models, and make critical decisions in data-rich environments ...

Recently, Suwayyid and Wei introduced commutative algebra as an emerging paradigm for machine learning and data science. In this work, we propose commutative algebra machine learning (CAML) for the ...