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Synthetic Data Generation for Robotics with Bill Vass - #588

Synthetic Data Generation for Robotics with Bill Vass - #588

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Synthetic Data Generation for Robotics with Bill Vass - #588

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
36 minutes
Released:
Aug 22, 2022
Format:
Podcast episode

Description

Today we’re joined by Bill Vass, a VP of engineering at Amazon Web Services. Bill spoke at the most recent AWS re:MARS conference, where he delivered an engineering Keynote focused on some recent updates to Amazon sagemaker, including its support for synthetic data generation. In our conversation, we discussed all things synthetic data, including the importance of data quality when creating synthetic data, and some of the use cases that this data is being created for, including warehouses and in the case of one of their more recent acquisitions, iRobot, synthetic house generation. We also explore Astro, the household robot for home monitoring, including the types of models running it, is running, what type of on-device sensor suite it has, the relationship between the robot and the cloud, and the role of simulation. 
The complete show notes for this episode can be found at twimlai.com/go/588
Released:
Aug 22, 2022
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.