98 episodes

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.

Women in AI RE•WORK

    • Technology

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.

    Episode 166: S4E9: Katja Hofmann, Sr Researcher, Microsoft

    Episode 166: S4E9: Katja Hofmann, Sr Researcher, Microsoft

    Dr Katja Hofmann is a Senior Researcher at the Machine Intelligence and Perception group at Microsoft Research Cambridge. Her research focuses on reinforcement learning with applications in video games, as she believes that games will drive a transformation of how people interact with AI technology. She is the research lead of Project Malmo, which uses the popular game Minecraft as an experimentation platform for developing intelligent technology. Her long-term goal is to develop AI systems that learn to collaborate with people, to empower their users and help solve complex real-world problems.

    Interested to hear more content from both Women in AI and also from our technical summit speakers? You can register for our newsletter here.

    • 13 min
    Episode 165: S4E8: Dominque Payette, National Bank of Canada

    Episode 165: S4E8: Dominque Payette, National Bank of Canada

    Dominique is a lawyer, with a law Master’s degree of UofMontreal on Regulating Robo-Advisers, published in the Banking and Finance Law Review. She is currently practising law as in-house counsel of National Bank of Canada, where she leads Legal AI initiatives and is currently working on implementing an AI governance framework. Outside her work for the Bank, she is also a collaborator of Fin-ML, where she gives workshops on legal and ethical accountability of AI in finance to graduate students and professionals. She is also one of the co-authors of the Discussion paper Responsible AI : A Global Policy Framework by ITechLaw.
    Interested in hearing more on financial law and ethical guidelines of using AI in Finance and Insurance? Join the London AI Finance Summit next month! See more here.

    • 13 min
    Episode 164: S4E7: Alexia Jolicoieur-Martineau, MILA

    Episode 164: S4E7: Alexia Jolicoieur-Martineau, MILA

    Alexia is a research scientist in statistics and artificial intelligence (AI). Her main research interests are Generative Adversarial Networks (GANs), deep learning, and large-scale gene-by-environment models. Her academic and professional background is in statistics. She started pursuing the study of AI in 2017 on her own. In 2017, she released the Meow Generator, a model that generates pictures of cats. In 2018, she wrote two sole-author papers on GANs, one of which has become highly influential (See “The relativistic discriminator: a key element missing from standard GAN”). In 2019, she wrote one sole-author papers on GANs, entered the highly competitive Ph.D. program at MILA, and received the Borealis AI Fellowship. Her ultimate goal is to push GANs beyond their current capabilities so that one day we can generate media content (such as movies, music, video games, and comics) through artificial intelligence. Looking for a mentor or someone to mentor in the AI field? The new RE•WORK mentorship scheme aims to bring together those in the field looking for that exact thing. Read more on the initiative here.

    • 13 min
    Episode 163: S4E6: Alicia Kavelaars, CEO, OffWorld

    Episode 163: S4E6: Alicia Kavelaars, CEO, OffWorld

    Alicia is Co-Founder and Chief Technology Officer at OffWorld Inc. She brings over 15 years of experience in the aerospace industry developing and successfully launching systems for NASA, NOAA and the Telecommunications industry. In 2015, Alicia made the jump to New Space to work on cutting edge innovation programs. In her tenure at OffWorld, Alicia has led the development of AI based rugged robots that will be deployed in one of the most extreme environments on Earth as a precursor to swarm robotic space operations: deep underground mines. Alicia holds a MSc. and PhD from Stanford University and a BSc. in Theoretical Physics from UAM, Spain.

    • 13 min
    Episode 162: S4E5: Franziska Meier, Research Scientist, Facebook AI

    Episode 162: S4E5: Franziska Meier, Research Scientist, Facebook AI

    Franziska Meier is a research scientist at Facebook AI Research. Previously she was a research scientist at the Max-Planck Institute for Intelligent Systems and a postdoctoral researcher with Dieter Fox at the University of Washington, Seattle. On this weeks podcast, Franziska discusses her current works, challenges and what she has in store for 2020! Join leading women like Franziska at the Women in AI dinner in San Francisco in just two weeks time. You can read more on this here.

    • 13 min
    Episode 161: S4E4: Dawn Song, Professor of Computer Science, UC Berkeley

    Episode 161: S4E4: Dawn Song, Professor of Computer Science, UC Berkeley

    Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in deep learning, security, and blockchain. She has studied diverse security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, distributed systems security, applied cryptography, blockchain and smart contracts, to the intersection of machine learning and security. Dawn will be joining us again in just over two weeks time at the RE•WORK San Francisco Summit. See more in Dawn's presentation and the summit as a whole here.

    • 13 min

Customer Reviews

Wohzay ,

Amazing variety of guests & topics

As well as having a good level of technical episodes, it's really great to explore some of the other important topics in AI like ethics, social positive impact and security. So nice for women to have a platform to be heard in the industry. Deffo worth subscribing.

Sofie Hazel ,

Women getting the recognition they deserve!

Love this podcast, it’s great to see the talented women in machine learning and other AI fields being recognised for their hard work and innovation! Women empowering women and doing a really great job 👍🏼 thanks RE•WORK looking forward to the next one!

Jasudo ,

Great for AI DL and MI chat with experts

Really refreshing to give women a platform in a field where a lot of the experts we hear from are male - very inspiring. And more importantly, the talks are great - lots of interesting thought provoking info. I'll be subscribing!

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