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@onlymejosh
Last active October 19, 2017 09:43
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<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
<channel>
<title>RE•WORK Podcasts</title>
<author>RE•WORK </author>
<link>http://re-work.co/podcasts/feed.rss</link>
<language>en-us</language>
<copyright>&amp;#x2117; &amp;amp; &amp;#xA9; 2017 RE•WORK</copyright>
<itunes:subtitle>Women in AI is a biweekly podcast from RE•WORK</itunes:subtitle>
<itunes:author>RE•WORK </itunes:author>
<itunes:summary>Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and advances, as well as their impact on AI and their place in the industry. </itunes:summary>
<itunes:explicit>clean</itunes:explicit>
<description>Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and advances, as well as their impact on AI and their place in the industry. </description>
<itunes:owner>
<itunes:name>RE•WORK </itunes:name>
<itunes:email>njohnson@re-work.co</itunes:email>
</itunes:owner>
<itunes:image href="http://reworkco.domain.com/womeninAI.png"/>
<itunes:category text="Technology">
<itunes:category text="Science"/>
</itunes:category>
<itunes:category text="RE•WORK "/>
<item>
<title>Episode 01: Nikita Johnson: the RE•WORK Journey</title>
<author>Nikita Johnson</author>
<itunes:author>Nikita Johnson</itunes:author>
<itunes:subtitle>Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and advances, as well as their impact on AI and their place in the industry.</itunes:subtitle>
<itunes:summary>
<![CDATA[Nikita Johnson, founder and CEO of RE•WORK discusses the motivation behind the Women in AI series. The episode touches on how she came to found the AI events company, and shares some exciting insights of the upcoming Deep Learning Summit and AI Assistants Summit in London, highlighting some of the influential women who will be sharing their research at the event. ]]>
</itunes:summary>
<itunes:image>http://reworkco.domain.com/podcastheadingpic.jpg</itunes:image>
<itunes:explicit>clean</itunes:explicit>
<enclosure url="http://reworkco.domain.com/PodcastNikitaAug.wav" length="139276694" type="audio/x-wav"/>
<itunes:duration>761</itunes:duration>
<pubDate> 7 Sep 2017</pubDate>
<link>https://re-work.co/podcast</link>
<guid>01</guid>
<description>&lt;p&gt;Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and advances, as well as their impact on AI and their place in the industry. &lt;/p&gt;</description>
</item>
<item>
<title>Episode 02: Iterative Approach To Improving Sample Generation</title>
<author>Antonia Creswell</author>
<itunes:author>Antonia Creswell</itunes:author>
<itunes:subtitle>Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and advances, as well as their impact on AI and their place in the industry.</itunes:subtitle>
<itunes:summary>
<![CDATA[Antonia is a PhD candidate at Imperial College London, in the Bio-Inspired Computer Vision Group. Her research focuses on unsupervised learning and generative models. She received her masters in Biomedical Engineering from Imperial College London with an exchange year at the University of California, Davis. Antonia has interned at Twitter (Magic Pony), Cortexica and UNMADE. In this episode we discuss the implementation of generative modelling to synthesise new data samples, and the challenges faced in this work.]]>
</itunes:summary>
<itunes:image>http://reworkco.domain.com/ANTONIA.JPG</itunes:image>
<itunes:explicit>clean</itunes:explicit>
<enclosure url="http://reworkco.domain.com/TONICRESSWELLPODCAST.mp3" length="8317784" type="audio/x-wav"/>
<itunes:duration>498</itunes:duration>
<pubDate>19 Oct 2017</pubDate>
<link>https://re-work.co/podcast</link>
<guid>01</guid>
<description>&lt;p&gt;Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and advances, as well as their impact on AI and their place in the industry. &lt;/p&gt;</description>
</item>
</channel>
</rss>
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