Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Objective:To construct an exploratory machine learning-based model for early risk stratification to differentiate pediatric CNSI from FS using single-center retrospective data and to analyze key ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

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Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

KV, a low-rank KV cache compression method achieving up to 20x reduction, with the paper selected as a Spotlight at ICML 2026 ...

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

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...