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BURZLAFF | The Basics (3): Learning with Machines — Four Principles for Using AI at Cornell

In this edition of The Basics, Prof. Jan Burzlaff offers advice on the principled and ethical use of artificial intelligence ...
Scientific American

How One Mom Built an AI Tutor for Her Dyslexic Son

Gajilan, who has worked at Reuters for more than 14 years and was then digital news director, had been reading about ...
IEEE

Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models

Abstract: Federated learning (FL) is an approach to training machine learning models that takes advantage of multiple distributed datasets while maintaining data privacy and reducing communication ...
IEEE

MSPL: Multimodal Statistical Prompt Learning for New Energy Equipment Defect Recognition

Abstract: Monitoring renewable energy devices is crucial for the timely detection of faults and the improvement of system stability, making it a key component of the Internet of Things (IoT) ecosystem ...
BMJ

Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review

Objectives To evaluate whether postpartum haemorrhage (PPH) can be predicted using both machine learning (ML) and traditional statistical models. Design Diagnostic systematic review and meta-analysis ...