Powering the next generation AI

Ubiquitous calculations have caused an avalanche of data that is beyond human processing. Artificial intelligence technologies have emerged as the only viable way to turn this data into information. As more calculations produce more data, more computing power is needed to power the AI. The next generation of AI will soon look at computing systems on a planetary scale to meet AI’s computational requirements. We will look at some of the technologies, such as neuromorphic and quantum computing, that will unlock the next step in performance, which is unsolvable with current computing systems.

About the speaker

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

Arun Subramanian joined Intel to lead the Cloud & AI Strategy team. Arun joined Intel from AWS, where he leads the global team for machine learning solutions, 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 covering a portfolio of $ 1.5 billion. Arun founded and developed global teams for autonomous computing and quantum computing. and grew the business 2-3 times.

Arun’s main areas of research focus are Bayesian methods, global optimization, probabilistic deep learning for large-scale applications, and distributed computing. He likes to work at the intersection of massively parallel computing and modeling of large-scale systems. Prior to AWS, Arun founded and led the AI ​​product team in GE’s Oil & Gas division and successfully grew the digital products business. He and his team have developed in-depth hybrid analysis for all segments of the oil and gas industry. Arun is leading the development of the Digital Twin platform for GE at GE’s Global Research Center. The platform continues to enable several thousand engineers to build effectively advanced models. The cumulative damage modeling techniques for specific assets that he and his team pioneered set 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 jet fleets, gas turbines in power plants and accelerated design time by 3-4 times. Arun is a prolific researcher with a doctorate. in Purdue Aerospace Engineering with 19 patents granted (54 filed) and 50+ international publications cited more than 1,000 times with an h-index of 13. He is also the winner of the Gull Hull Award, which honors technologists for their outstanding technical impact.

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 the helm of the MIT Technology Review in mid-2017, the business has undergone a major 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 sustainable business. Under her leadership, MIT Technology Review is praised for its editorial credibility, best-in-class events, and new use of independent, original research to support both advertisers and readers.

Elizabeth has 20 years of experience building and managing teams in the world’s leading media companies. It maintains a strong focus on new ways to commercialize media content to appeal to discerning, discerning users as well as B2B audiences.

Prior to joining the MIT Technology Review, Elizabeth held a senior executive role in The Economist Group, where her leadership spans various business lines and includes mergers and acquisitions; editorial and product creation and modernization; sales; marketing; and events. Earlier in her career, she worked as a consultant, advising technology companies on market entry and international expansion.

Elizabeth holds an executive MBA from the London Business School, a master’s degree from the London School of Economics and a bachelor’s degree from Swarthmore College.

https://www.technologyreview.com/2022/05/09/1051907/powering-the-next-generation-of-ai/