High Performance Computing, Artificial Intelligence, Accelerators

Title - Fast AI: Enabling Rapid Prototyping of AI Solutions Abstract - Recent advances in Artificial Intelligence (AI) and Machine Learning (ML) have relied on access to modern computing hardware, massive quantities of data, and advanced algorithms that leverage high-performance computing centers such as the MIT Lincoln Laboratory Supercomputing Center (LLSC). While AI will play in important role in many organizations, rapid adoption of AI is often limited by legacy hardware, siloed and messy data, and sparse/unsupervised ML algorithms in data starved application domains. As a world-leader in developing high-performance computing (HPC) tools that are easy-to-use without compromising performance, the LLSC has been developing a number of novel technologies that aim to overcome these technical hurdles that restrict easy adoption of AI. This research in “Fast AI” is pillared on modern computing, big data management, and interfaces & algorithms. In this talk, I will discuss the AI landscape; highlight a few AI adoption challenges; provide an overview of research that simplifies AI adoption; and discuss novel AI applications to cybersecurity and video recognition.
Who is this presentation for?
Researchers, Data Scientists
Prerequisite knowledge:
Basic Computer Science
What you'll learn?
What goes into making an end-to-end AI system

Dr. Vijay Gadepally is a senior scientist and principal investigator at the Massachusetts Institute of Technology (MIT) Lincoln Laboratory and works closely with the Computer Science and Artificial Intelligence Laboratory (CSAIL). Vijay holds a M.Sc. and PhD in Electrical and Computer Engineering from The Ohio State University and a B.Tech degree in Electrical Engineering from the Indian Institute of Technology, Kanpur. Vijay has previously served as the President of the Council of Graduate Students and Chairperson of the Student Commercialization Board at The Ohio State University. Vijay has also been the National Director of Employment Concerns for the National Association of Graduate-Professional Students. In 2017, Vijay received the Early Career Technical Achievement Award at MIT Lincoln Laboratory and was named to AFCEA's inaugural 40 under 40 list. In 2011, Vijay received an Outstanding Graduate Student Award at The Ohio State University. Vijay is interested in the technical and social aspects of artificial intelligence (AI), big data, high performance computing, polystore databases, graph analytics, cyber security (privacy preserving technology) and autonomous (self-driving) vehicles..