๐ Researchers at Northwestern University have Proposed a Groundbreaking Machine-Learning Framework for off-grid Medical Data Classification Cutting AI Energy Use by 99%
๐ก Newskategorie: AI Nachrichten
๐ Quelle: marktechpost.com
In a recent development, Researchers at Northwestern University have proposed a groundbreaking machine learning framework for off-grid medical data classification and diagnosis, particularly in the context of electrocardiogram (ECG) interpretation. The paper discusses the challenges of implementing support vector machine (SVM) algorithms for ECG classification on low-power computing hardware. It presents a novel solution using [โฆ]
The post Researchers at Northwestern University have Proposed a Groundbreaking Machine-Learning Framework for off-grid Medical Data Classification Cutting AI Energy Use by 99% appeared first on MarkTechPost.
...