Machine learning algorithms are widely used for decision making in societally high-stakes settings from child welfare and criminal justice to healthcare and consumer lending. Recent history has ...
Chongzhi Di develops statistical learning methods for analyzing complex, high-dimensional, and real-time data in biomedical and behavioral research. His work focuses on wearable devices, accelerometry ...
Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 ...
SAN FRANCISCO--(BUSINESS WIRE)--Today, the open engineering consortium MLCommons ® announced fresh results from MLPerf TM Inference v2.1, which analyzes the performance of inference - the application ...
*It'll be a lot less handwavey now. This isn't exactly hot news, but I like the specialized industry jargon here. *It's a press release. 6/24/19: New Machine Learning Inference Benchmarks Assess ...
SAN FRANCISCO – April 6, 2022 – Today MLCommons, an open engineering consortium, released new results for three MLPerf benchmark suites – Inference v2.0, Mobile v2.0, and Tiny v0.7. MLCommons said the ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More One of the wonders of machine learning is that it turns any kind of data ...
The launch of Amazon Elastic Inference lets customers add GPU acceleration to any EC2 instance for faster inference at 75 percent savings. Typically, the average utilization of GPUs during inference ...
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