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Lancelot federated learning system combines encryption and robust aggregation to resist poisoning attacks

Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively ...
TMCnet

Shutterstock Builds on Data Licensing Strength with New AI Services for Model Training and Evaluation

Creative-Expert Preference Data: Shutterstock leverages professional creatives for rubric-driven aesthetic judgments that ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Building the Foundation for Responsible Enterprise AI: A Framework for Governance in the Age of Machine Learning

The intersection of artificial intelligence governance and practical machine learning implementation represents one of the most critical challenges facing modern enterprises. This reality became ...
ascopubs.org

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
InsuranceNewsNet

Studies from University of Washington in the Area of Machine Learning Reported (Estimating heterogeneous impacts Of subsidised health insurance: A causal machine learning ...

By a News Reporter-Staff News Editor at Insurance Daily News-- Researchers detail new data in Machine Learning. According to news reporting out of Seattle, Washington, by NewsRx editors, research ...