Wednesday, June 29, 2022

Powering the next generation of AI

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Ubiquitous computing has created an avalanche of data beyond human processing capacity. AI technologies have emerged as the only viable way to turn this data into information. As more computers produce more data, more computing power is needed to power AI. Next-generation AI will soon look to planetary-scale computing systems to further fuel AI’s computational requirements. We will explore some of the technologies, such as neuromorphic and quantum computing, that will unlock the next step in performance that is unmanageable with today’s computer systems.


About the speaker

Arun Subramaniyan, Vice President, Cloud & AI, Strategy & Execution, Intel Corporation

Arun Subramaniyan joined Intel to lead the Cloud & AI Strategy team. Arun joined Intel from AWS, where he led the global solutions team for Machine Learning, Quantum Computing, High Performance Computing (HPC), Autonomous Vehicles and Autonomous Computing at AWS. His team was responsible for developing solutions in all areas of HPC, quantum computing and large-scale machine learning applications, with a portfolio of more than $1.5 billion. Arun founded and grew the global Autonomous Computing and Quantum Computing Go-to-market and solutions teams at AWS and growing the businesses 2-3x.

Arun’s main research areas are Bayesian methods, global optimization, probabilistic deep learning for large-scale applications, and distributed computing. He enjoys working at the intersection of massively parallel computing and modeling large-scale systems. Before AWS, Arun founded and led the AI ​​product team at GE’s Oil & Gas division and successfully grew the digital products business. He and his team developed deep learning-augmented hybrid analytics for all segments of the oil and gas industry. Arun led the development of the Digital Twin platform for GE at GE’s Global Research Center. The platform still allows several thousand engineers to efficiently build advanced models. The asset-specific cumulative damage modeling techniques that he and his team have developed define the standard for industrial damage modeling.

As a Six Sigma Master Black Belt, he developed advanced techniques and tools to efficiently model large-scale systems such as jet engine fleets, gas turbines in power plants and accelerated design times by 3-4x. Arun is a prolific researcher with a Ph.D. in Aerospace Engineering from Purdue University with 19 patents granted (54 filed), and 50+ international publications cited over 1000 times with an h-index of 13. He is also the recipient of GE’s Hull Award, which honors technologists because of their excellent technical impact.

Elizabeth Bramson-Boudreau

Elizabeth Bramson-Boudreau, CEO and Publisher, MIT Technology Review

Elizabeth Bramson-Boudreau is the CEO and publisher of MIT Technology Review, the independent media company of the Massachusetts Institute of Technology.

Since Elizabeth took over from MIT Technology Review in mid-2017, the company has undergone a massive transformation from its previous position as a respected but niche print magazine to a widely read, multi-platform media brand with a global audience and a sustainable business. Under her leadership, MIT Technology Review has been praised for its editorial authority, its best-in-class events, and its new use of independent, original research to support both advertisers and readers.

Elizabeth has a 20-year background in building and leading teams at leading media companies. She has a keen focus on new ways to commercialize media content to appeal to discerning, discerning consumers and B2B audiences alike.

Prior to joining MIT Technology Review, Elizabeth held a senior executive role at The Economist Group, where her leadership spanned all business units and included mergers and acquisitions; editorial and product creation and modernization; sale; marketing; and events. Earlier in her career, she worked as a consultant advising technology companies on market access and international expansion.

Elizabeth holds an executive MBA from London Business School, an MSc from the London School of Economics and an undergraduate degree from Swarthmore College.

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