Rangan Sukumar is a data science/artificial intelligence architect. He is a Distinguished Technologist in the Chief Technology Office at Hewlett Packard Enterprise. Prior to that, he was a scientist and a Group Leader responsible for knowledge discovery/data science workflows on the world’s fastest supercomputers at Oak Ridge National Laboratory. He has a PhD in artificial intelligence and over 70 publications in areas of disparate data collection, organization, processing, integration, fusion, analysis and inference - applied to a wide variety of domains such as drug discovery, autonomous cars/robotics, education, social network analysis, electric grid modernization and public policy.
While AI acceleration architectures get most of the attention these days, without a top-notch deployment tool flow, even the best architectures will fall flat. In this webinar we will show how the tool flow is critical for successful deployments.
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Time-to-market is a critical aspect of bringing an Edge AI product to market. When selecting an AI processor, it is important for the evaluation and integration process to be as seamless and as simple as possible. In this webinar we will show how easy it is to integrate the Mythic Analog Matrix Processor (AMP) into popular hardware platforms including Intel X86, NVIDIA and Qualcomm for accelerating AI at low power. We will provide a brief overview of the Mythic AMP and the hardware requirements for integration.
Romain Daillère completed his PhD in 2015 in the laboratory of Professor Laurence Zitvogel at the Gustave Roussy Cancer Campus (GRCC), Villejuif-Grand Paris/France. His research focuses on the complex interplay between gut microbiota and the efficacy of anticancer regimens. He previously graduated as a biotechnology engineer at the Ecole Supérieure de Biotechnology de Strasbourg (Trinational School of Strasbourg), and worked at the Ragon Institute of MIT, MGH and Harvard in Boston. Co-founder of EverImmune. Co-Inventor of EverImmune Technology. He currently acts as head of the preclinical research of EverImmune.
