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The growing number of uses for artificial intelligence (AI), machine learning (ML) and deep learning (DL) continues to drive the development of cutting-edge technology solutions. Biomedical research and medical care are fields that are poised to be dramatic change as they start to integrate computer vision, predictive modeling, natural language understanding, and recommendation engines within standard practice. In this talk, we will review why AI and ML are hard problems to tackle, describe some cutting edge examples in biomedical research and other industries that are applying these techniques to create materially better solutions, and then dive into the details of the family of intelligent services at AWS that provide cloud-native machine learning and deep learning technologies to address a wide range of research needs. We will focus specifically on deep learning applications and products, such as the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale. Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud. |
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BIO:
Aviv Regev, a computational and systems biologist, is a professor of biology at MIT, a Howard Hughes Medical Institute Investigator, and the Chair of the Faculty and the director of the Klarman Cell Observatory and Cell Circuits Program at the Broad Institute.
She studies the molecular circuitry that governs the function of mammalian cells in health and disease and has pioneered many leading experimental and computational methods for the reconstruction of circuits, including in single-cell genomics.
Regev is a recipient of the NIH Director’s Pioneer Award, a Sloan fellowship from the Sloan Foundation, the Overton Prize from the International Society for Computational Biology, and the Earl and Thressa Stadtman Scholar Award from the American Society of Biochemistry and Molecular Biology.
Regev received her M.Sc. from Tel Aviv University, studying biology, computer science, and mathematics in the Interdisciplinary Program for the Fostering of Excellence. She received her Ph.D. in computational biology from Tel Aviv University.
SUMMARY:
Topic: Using Trinity to Understand the "Expressed Exome"
Speaker: Aviv Regev
Angel Pizarro leads the global genomics, life science, and precision medicine initiatives within the Research and Technical Computing at Amazon Web Services. He has over 17 years of experience in bioinformatics, supporting a broad range of technologies such as high-throughput sequencing, proteomics, and metabolomics. Prior to joining AWS in 2013, he lead a bioinformatics research team at the University of Pennsylvania School of Medicine, developing systems and algorithms to support a broad set of research problems focused on genomic expression and cardiovascular research.
SUMMARY:
Topic: Machine Learning on the Cloud with MXNet
Speaker: Angel Pizarro, Scientific Computing at Amazon Web Services
Date: Wednesday, July 19Date: Wednesday, June 21, 2017
Time: 11 AM – 12 PM ET
WebEx:
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Event Password:
Room: 3W032-034Room: Seminar Room 110 (Terrace East)
You are invited to listen to DrMr. RegevPizarro's presentation in the NCI Shady Grove Building on Medical Center Drive or via WebEx. . Mr. Pizarro will give his presentation in person at NCI.
Presentation: A screen cast of the presentation will be available for viewing after the event on the NCI CBIIT Speaker Series YouTube Playlist 
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About the NCI CBIIT Speaker Series:
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