Karl Freund from Moor Insights gave this talk at SC17. “Researchers have begun putting Machine Learning to work solving problems that do not lend themselves well to traditional numerical analysis, or that require unaffordable computational capacity. This talk with discuss three primary approaches being used today, and will share some case studies that show significant promise of lower latency, improved accuracy, and lower cost.”
Industry Perspectives
Video: Bill Dally Keynote on Accelerated Machine Learning from GTC Israel
In this video from GTC Israel, Bill Dally from NVIDIA gives a keynote talk on accelerated computing for Machine Learning and HPC. "GTC is the largest and most important event of the year for GPU developers. GTC and the global GTC event series offer valuable training and a showcase of the most vital work in the computing industry today - including artificial intelligence and deep learning, virtual reality, and self-driving cars." [Read More...]
White Papers
Modernizing Healthcare Workloads with Virtual GPU Technology
In the healthcare sector, clinicians are increasingly using mobile devices such as smartphones, tablets, and personal laptops to access patient records and more. Many hospitals have turned to virtualization and virtual GPU technology to offer greater mobility, security, and IT manageability. Download the report from HPE that explores how virtual GPU technology is modernizing healthcare.
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