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The AWS machine learning summit logo and profile images of the six science track speakers
The AWS Machine Learning Summit featured a Science of Machine Learning track that included a fireside chat, and six 30-minute presentations. Below are video replays from the Summit, including six individual presentations within the the science track, and interviews Amazon Science conducted with each of the speakers within the science track.
Glynis Condon
Machine learning

Hear from AWS Machine Learning Summit speakers

The event is over, but Amazon Science interviewed each of the six speakers within the Science of Machine Learning track. See what they had to say.

By Staff writer
June 1, 2021
1 min read
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Amazon Web Services (AWS) is holding a free virtual Machine Learning Summit on Wednesday, June 2, with the goal of bringing together customers, developers, and the science community to learn about advances in the practice of machine learning (ML). Details are below.

Opening keynote

The event will begin with a keynote from 8 a.m. to 9 a.m. PDT from Swami Sivasubramanian, AWS vice president of machine learning; Bratin Saha, vice president of AWS Machine Learning Services; and Yoelle Maarek, vice president of research science, Alexa Shopping. Each will focus on how Amazon is applying customer-obsessed science to ML.

Fireside chat

The fireside chat will take place from 9 a.m. to 9:45 a.m. PDT. Andrew Ng, founder and CEO of Landing AI, and Sivasubramanian will discuss the future of ML, the skills that are fundamental for the next generation of ML practitioners, and how to bridge the proof-of-concept-to-production gap in ML.

Breakout sessions

The Summit will include four audience-focused tracks which will run throughout the day. The tracks are:

  • Science of Machine Learning;
  • Impact of Machine Learning;
  • How Machine Learning Is Done; and
  • Machine Learning — No Experience Required.

Science track speaker interviews

The Science of Machine Learning track will comprise six sessions, each lasting 30 minutes, as well as a fireside chat on deep learning and language with Amazon distinguished scientists Alex Smola and Bernhard Schölkopf, and Alexa AI senior principal scientist Dilek Hakkani-Tur. Amazon Science interviewed each of the science track session speakers. Below you can learn what each of them plans to speak about.

AmazonScience_MLS-SpeakerGraphic_MarziaPolito_03_210505134738.jpg
3 questions with Marzia Polito: Performing computer vision tasks at scale with few-shot learning
Polito is one of the featured speakers at the first virtual Amazon Web Services Machine Learning Summit on June 2.
Read her interview
AmazonScience_MLS-SpeakerGraphic_MichaelKearns_01_210505134739.jpg
3 questions with Michael Kearns: Designing socially aware algorithms and models
Kearns is a featured speaker at the first virtual Amazon Web Services Machine Learning Summit on June 2.
Read his interview
Philip Resnik, speaker at the ML Summit and a professor at the University of Maryland in the Department of Linguistics and at the Institute for Advanced Computer Studies
3 questions with Philip Resnik: Analyzing social media to understand the risks of suicide
Resnik is a featured speaker at the first virtual Amazon Web Services Machine Learning Summit on June 2.
Read his interview
Ryan Tibshirani, an associate professor of statistics and machine learning at Carnegie Mellon University, and an Amazon Scholar, is a co-principal investigator of the Delphi Group.
3 questions with Ryan Tibshirani: The science behind COVIDcast and pandemic tracking
Tibshirani is a featured speaker at the first virtual Amazon Web Services Machine Learning Summit on June 2.
Read his interview
ML-Summit-Image-KathleenMcKeown-2.png
Glynis Condon
3 questions with Kathleen McKeown: Controlling model hallucinations in natural language generation
McKeown is a featured speaker at the first virtual Amazon Web Services Machine Learning Summit on June 2.
Read her interview
George Karypis
Glynis Condon
3 questions with George Karypis: Making learning from data embedded in graphs easy and scalable
Karypis is a featured speaker at the first virtual Amazon Web Services Machine Learning Summit on June 2.
Read his interview

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