AI's Impact on the Future of Work with Neil Thompson

In this episode

CSAIL's Neil Thompson joins Kara Miller for a conversation on how AI will affect the future of work. Dr. Thompson also shares insights into the race for computing power and how that competition is shaping the landscape of future endeavors. A full transcript of this podcast can be found here.

About the speakers

Neil Thompson

Research Scientist, MIT CSAIL

Neil Thompson is an innovation scholar with appointments as a Research Scientist at CSAIL and as a Visiting Professor at Harvard. His research focuses on 4 topics:

Computer Performance and Economic Outcomes
Tools and Innovation
Patenting & Licensing
Executing on Innovation and Strategy

He did his PhD in Business and Public Policy at Berkeley, where he also did Masters degrees in Computer Science and Statistics. He has a Master's in Economics from the London School of Economics, and undergraduate degrees in Physics and International Development. Prior to academia, he worked at organizations such as Lawrence Livermore National Laboratories, Bain and Company, The United Nations, the World Bank, and the Canadian Parliament.

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Spotlight: Neil Thompson

Podcast: Exploring Changes in Computing as Moore's Law Ends with Neil Thompson

Neil Thompson

Research Scientist Neil Thompson is the Director of the MIT FutureTech Research Project and co-leads the Supertech Research Group at CSAIL along with Professor Charles Leiserson and Research Scientist Tao Schardl. With a PhD in business and public policy and a master’s in computer science and statistics from UC Berkely, along with a master’s in economics from the London School of Economics, Dr. Thompson brings both a technical and commercial background to the question of what computer improvement will look like going forward.

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The Death of Moore’s Law: What it means and what might fill the gap going forward

If you ask MIT Professor Charles Leiserson, Moore’s Law has been over since at least 2016. In conversation with CSAIL Alliances, he points out that it took Intel five years to go from 14-nanometer technology (2014) to 10-nanometer technology (2019), rather than the two years Moore’s Law would predict. Although miniaturization is still happening, the Moore’s Law standard of doubling the components on a semiconductor chip every two years has been broken.

Software Performance Engineering in a Post-Moore Era with Professor Charles Leiserson

Professor and lifelong educator Charles Leiserson is working on solutions that will support continued improvements in computing performance and help today’s engineers and programmers adjust to and thrive in a post-Moore's Law era.

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