A novel machine learning model accurately screened for psychologic distress in patients with chronic rhinosinusitis using routine clinical variables.
Moxank Patel, Machine Learning Engineer at Meta, has worked across machine learning, information retrieval, NLP, computer vision, backend engineering and produc ...
8don MSN
Indian-origin sixth-grader trains machine-learning model to spot lithium deposits with 89% accuracy
Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine ...
Machine learning (ML) is a foundational technology for modern AI, transforming the operational landscape of contemporary businesses. ML technology uses data to find patterns, spot anomalies and make ...
Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.
A machine learning model combining acoustic speech features with PHQ-9 responses improved depression screening accuracy in adolescents.
Quantum computers promise to solve problems that stump even the most powerful supercomputers, but the machines themselves are ...
Stochastic gradient descent and Adam are optimization algorithms that update model parameters from estimated gradients, but ...
This presentation explores how machine learning can be used to model storm surge hazards at continental and global scales. Participants will learn why broadscale storm surge information is important ...
A machine learning model utilizing longitudinal electronic diary data can accurately forecast the likelihood of next-day migraine attacks.
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