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Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251

Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251

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


Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251

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

ratings:
Length:
32 minutes
Released:
Apr 15, 2019
Format:
Podcast episode

Description

Today we’re joined by Gerald Quon, assistant professor in the Molecular and Cellular Biology department at UC Davis. Gerald presented his work on Deep Domain Adaptation and Generative Models for Single Cell Genomics at GTC this year, which explores single cell genomics as a means of disease identification for treatment. In our conversation, we discuss how Gerald and his team use deep learning to generate novel insights across diseases, the different types of data that was used, and the development of ‘nested’ Generative Models for single cell measurement. The complete show notes for this episode can be found at https://twimlai.com/talk/251. Visit twimlai.com/gtc19 for more from our GTC 2019 series. To learn more about Dell Precision workstations, and some of the ways they’re being used by customers in industries like Media and Entertainment, Engineering and Manufacturing, Healthcare and Life Sciences, Oil and Gas, and Financial services, visit Dellemc.com/Precision.
Released:
Apr 15, 2019
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.