NVIDIA Volta Architecture – Volta is the world's most powerful GPU computing architecture, created to drive the next wave of advancement in AI and high performance computing. The first Volta-based processor is the Tesla V100 data center GPU, which brings extraordinary speed and scalability for AI inferencing and training, as well as for accelerating HPC and graphics workloads. New Volta-Based DGX Systems -- The company announced a new lineup of NVIDIA DGX AI supercomputers with unmatched computing performance. Using NVIDIA Tesla V100 data center GPUs based on the new Volta architecture and a fully optimized AI software package, the systems deliver groundbreaking AI computing power three times faster than the prior DGX generation, providing the performance of up to 800 CPUs in a single system. NVIDIA GPU Cloud Platform – NVIDIA GPU Cloud (NGC) is a cloud-based platform that will give developers convenient access -- via their PC, DGX system or the cloud -- to a comprehensive software suite for harnessing the transformative powers of AI.

Olivier Gevaert is an assistant professor at Stanford University focusing on developing machine-learning methods for biomedical decision support from multi-scale biomedical data. He is an electrical engineer by training with additional training in artificial intelligence, and a Ph.D. in bioinformatics at the University of Leuven, Belgium. He continued his work as a postdoc in radiology at Stanford and started his lab at the Department of Medicine, Biomedical Informatics. His lab focuses on multi-scale biomedical data fusion primarily in oncology and neuroscience.