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Banner: Advancing Data Science Careers During the Pandemic

Discussion: Advancing Your Data Science Career During the Pandemic

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In this discussion, we will explore ways that Data Scientists and ML/AI practitioners can continue to advance their careers despite the challenges of the coronavirus pandemic. Our panelists will provide concrete tips, advice, and direction for those just starting out, those affected by layoffs, and those just wanting to move forward in their careers. The…

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Banner: Is Linguistics Missing from NLP Research

Live Viewing Party: Is Linguistics Missing from NLP Research?

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We are back with another interactive podcast viewing party on Monday, May 18th. This time I’ll be joined by Emily Bender, professor of linguistics at the University of Washington. We’ll begin at 3 o’clock Pacific. Register for reminders and updates below and be sure to add it to your calendar. Additional details follow. Send me…

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Mitigating Discrimination and Bias with AI Fairness 360 – Democast #5

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Buen dia! The Democast is BACK! This month, we had the pleasure of chatting with Karthi Natesan Ramamurthy, a research staff member at the IBM TJ Watson Research Center, and one of the architects of today’s demo topic, IBM’s AI Fairness 360 Toolkit. We had the opportunity to get an early look at 360 leading…

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Panel: Responsible Data Science in the Fight Against COVID-19

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“We are at a critical point in the global response to COVID-19 – we need everyone to get involved in this massive effort to keep the world safe.” – WHO Director-General Dr. Tedros Adhanom Ghebreyesus Since the beginning of the coronavirus pandemic, we’ve seen an outpouring of interest on the part of data scientists and…

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6 books banner - Six great ML AI books by past TWIML AI Podcast guests

Six books, @twimlai edition

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My friend Sriram tagged me in the Twitter “6 books 6 people” chain letter that’s been making the rounds recently. I usually ignore these, and was about to, but then thought about all of our amazing guests who have recently published books and thought it’d be a shame not to share them. So, presenting 6…

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Secure and Private Deep Learning with PySyft – Democast #4

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Welcome back, friends! This month, we had the pleasure of sitting down with Andrew Trask, PhD Student at the University of Oxford, and leader of the OpenMined community, for our latest installment of TWIML Democast. Some of you might remember Andrew from the podcast, where he joined Sam in episode #241 to discuss Privacy-Preserving Decentralized…

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Epipolar Geometry to Improve Neural Rendering in Scene Representation

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To hear about Josh Tobin’s various projects in robot learning, check out the full interview! The discussion on projects outside of the NeurIPS paper picks up at 15:58 in the podcast. Enjoy! Robots have a particularly hard time with “reading a room.” In order to know how to act, they first need to understand their…

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Dex-Net and the Third Wave of Robot Learning

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Ken Goldberg is involved in several projects in collaboration with multiple organizations at UC Berkeley including some technology-based art projects. To hear about all of them, check out the recent TWIML AI Podcast interview, The Third Wave of Robotic Learning with Ken Goldberg.   Ever thought you had a good grip on your phone and…

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ViLBERT: Bridging Visual and Linguistic Inputs to Improve Interaction between Humans and Machines

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Stefan Lee is involved in a number of projects around emergent communication. To hear about more of them, in addition to the ViLBERT model, check out the full interview! TWiML Talk #358 with Stefan Lee. One of the major barriers keeping robots from full immersion in our daily lives, is the reality that meaningful human…

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COVID-19 Update from Team TWIML

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Hi everyone! Unless you’re Jared Leto, or a contestant on Big Brother Germany, you’ve undoubtedly seen your world shift dramatically over the last few weeks. For most of us, this is uncharted territory and unfortunately, we’re not quite able to see the finish line just yet. Now, more than ever before, is the time for…

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