Tech

Powering the next generation of AI


The ubiquitous computer has caused a storm of data beyond human processing capacity. AI technology has emerged as the only viable way to turn this data into information. As more computers generate more data, more computing power is needed to power AI. Next-generation AI will soon head to planet-scale computing systems to further drive AI’s computational requirements. We’ll look at some of the technologies, such as polymorphic and quantum neural computing, that will open up the next step in performance that is hard to come by with current computing systems.


About the speaker

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

Arun Subramaniyan joins Intel to lead the AI ​​& Cloud 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 is responsible for developing solutions across all areas of HPC, quantum computing, and large-scale machine learning applications, spanning $1.5 billion+ portfolio. Arun founded and developed the Global Teams for Autonomous Computing and Quantum Computing Go-to-market and solutions at AWS, and grew the business 2-3x.

Arun’s main research focus areas are Bayesian methods, global optimization, probabilistic deep learning for large-scale applications, and distributed computing. He enjoys working at the intersection of parallel computing and modeling large-scale systems. Prior to AWS, Arun founded and led the AI ​​product team in GE’s Oil and Gas division and grew into a digital products business. He and his team have developed deep learning augmented mixed 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. This platform continues to enable thousands of engineers to efficiently build cutting-edge models. The property-specific cumulative damage modeling techniques he and his team pioneered define the standard for industrial damage modeling.

As a Six Sigma master black belt, he has developed advanced techniques and tools for efficient modeling of large-scale systems such as fleets of jet engines, gas turbines in generators and speed up design time by 3-4 times. Arun is a researcher with several Ph. in Aerospace Engineering from Purdue University with 19 patents granted (54 filed), and more than 50 international publications that have been cited more than 1000 times with an h-index of 13. He is also a recipient of the Hull Award presented by GE. technologists for their outstanding 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 arm of the Massachusetts Institute of Technology.

Since Elizabeth took the helm of MIT Technology Review in mid-2017, the business has undergone a massive transformation from its former position as a respected but niche print magazine into a multimedia brand. platform, widely read with a global audience and a sustainable business. . Under her leadership, MIT Technology Review has been praised for its editorial rights, best-in-class facts, and novel use of original, independent research to assist both advertisers and readers. .

Elizabeth has 20 years of experience building and running teams at the world’s top media companies. She maintains a strong focus on new ways to commercialize media content to appeal to discerning, demanding consumers as well as B2B audiences.

Prior to joining MIT Technology Review, Elizabeth held a senior executive role at The Economist Group, where her leadership roles spanned across business sectors and included mergers and acquisitions; editing and creating and modernizing products; sell; marketing; and events. Earlier in her career, she served as a consultant advising technology companies on market penetration and international expansion.

Elizabeth holds an Executive Master of Business Administration from the London Business School, an MA from the London School of Economics and a BA from Swarthmore College.



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