AI for Digital Health Innovation with Andrew Trister - #455

AI for Digital Health Innovation with Andrew Trister - #455

Today we’re joined by Andrew Trister, Deputy Director for Digital Health Innovation at the Bill & Melinda Gates Foundation. In our conversation with Andrew, we explore some of the AI use cases at the foundation, with the goal of bringing “community-based” healthcare to underserved populations in the global south. We focus on COVID-19 response and improving the accuracy of malaria testing with a bayesian framework and a few others, and the challenges like scaling these systems and building out infrastructure so that communities can begin to support themselves. We also touch on Andrew's previous work at Apple, where he helped develop what is now known as Research Kit, their ML for health tools that are now seen in apple devices like phones and watches. The complete show notes for this episode can be found at https://twimlai.com/go/455

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Machine Learning Platforms at Uber with Mike Del Balso - TWiML Talk #115

Machine Learning Platforms at Uber with Mike Del Balso - TWiML Talk #115

In this episode, I speak with Mike Del Balso, Product Manager for Machine Learning Platforms at Uber. Mike and I sat down last fall at the Georgian Partners Portfolio conference to discuss his present...

1 Mars 201849min

Inverse Programming for Deeper AI with Zenna Tavares - TWiML Talk #114

Inverse Programming for Deeper AI with Zenna Tavares - TWiML Talk #114

For today’s show, the final episode of our Black in AI Series, I’m joined by Zenna Tavares, a PhD student in the both the department of Brain and Cognitive Sciences and the Computer Science and Artifi...

26 Feb 201828min

Statistical Relational Artificial Intelligence with Sriraam Natarajan - TWiML Talk #113

Statistical Relational Artificial Intelligence with Sriraam Natarajan - TWiML Talk #113

In this episode, I speak with Sriraam Natarajan, Associate Professor in the Department of Computer Science at UT Dallas. While at NIPS a few months back, Sriraam and I sat down to discuss his work on ...

23 Feb 201847min

Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - TWiML Talk #112

Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - TWiML Talk #112

In this episode, part 4 in our Black in AI series, i'm joined by Charles Onu, Phd Student at McGill University in Montreal & Founder of Ubenwa, a startup tackling the problem of infant mortality due t...

20 Feb 201848min

Learning "Common Sense" and Physical Concepts with Roland Memisevic - TWiML Talk #111

Learning "Common Sense" and Physical Concepts with Roland Memisevic - TWiML Talk #111

In today’s episode, I’m joined by Roland Memisevic, co-founder, CEO, and chief scientist at Twenty Billion Neurons. Roland joined me at the RE•WORK Deep Learning Summit in Montreal to discuss the work...

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Trust in Human-Robot/AI Interactions with Ayanna Howard - TWiML Talk #110

Trust in Human-Robot/AI Interactions with Ayanna Howard - TWiML Talk #110

In this episode, the third in our Black in AI series, I speak with Ayanna Howard, Chair of the Interactive School of Computing at Georgia Tech. Ayanna joined me for a lively discussion about her work ...

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Data Science for Poaching Prevention and Disease Treatment with Nyalleng Moorosi - TWiML Talk #109

Data Science for Poaching Prevention and Disease Treatment with Nyalleng Moorosi - TWiML Talk #109

For today’s show, I'm joined by Nyalleng Moorosi, Senior Data Science Researcher at The Council for Scientific & Industrial Research or CSIR, in Pretoria, South Africa. In our discussion, we discuss t...

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Security and Safety in AI: Adversarial Examples, Bias and Trust w/ Moustapha Cissé - TWiML Talk #108

Security and Safety in AI: Adversarial Examples, Bias and Trust w/ Moustapha Cissé - TWiML Talk #108

In this episode I’m joined by Moustapha Cissé, Research Scientist at Facebook AI Research Lab (or FAIR) Paris. Moustapha’s broad research interests include the security and safety of AI systems, and w...

6 Feb 201850min

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