Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

The Francis College of Engineering, Department of Mechanical Engineering, invites you to attend a Doctoral Dissertation defense by Elyas Irankhah on: "Machine Learning and Causal Inference for ...

Setodji CM, McCaffrey DF, Burgette LF, Almirall D, Griffin BA. The right tool for the job: Choosing between covariate balancing and generalized boosted model propensity scores. Epidemiology. 2017.

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 ...

*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 ...

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 ...