))
Analyzing rap/hip hop music and your occasional rants.
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
It’s good, bad, ugly - and very very funny. Changing the way we see heroes and villains in history.
Lead Gt: Roland Kuizon, Rhythm Gt: Maricris Portillo & Ado Reyes, Bass: Michelle Kuizon, Keys: Ruth Kuizon & Ella Abubakkar, Drums: John De Castro, Vox: Sarah Diverson, Beth Guzman, Pablo Austria, Nelson Libang
Each episode David Usher brings on amazing guests to talk about their work at the intersection of creativity and artificial intelligence. Artificial intelligence + virtual beings + art + music + text/writing + animation + games + voice www.davidusher.com www.reimagine.ai
The Sicario Effect is a new series from Exclave Media. Jhon Jairo Velasquez Vasquez alias “Popeye” was Pablo Escobar’s top lieutenant and The Medellin Cartel's chief sicario (assassin). He’s publicly admitted to having personally killed 300 people. In 2014, after 23 years in prison, Popeye was released. Rather than lay low and enjoy his new freedom, he took to the internet and became a social media star, “Popeye the Repentant”. And as we discovered, that’s just the beginning. This is a story ...
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Trends in Reinforcement Learning with Pablo Samuel Castro - #443
1:26:38
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Today we kick off our annual AI Rewind series joined by friend of the show Pablo Samuel Castro, a Staff Research Software Developer at Google Brain. Pablo joined us earlier this year for a discussion about Music & AI, and his Geometric Perspective on Reinforcement Learning, as well our RL office hours during the inaugural TWIMLfest. In today’s conv…
Darren Harriott, Sikisa and Johnny Cochrane examine the civil rights leader.By BBC Radio
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448
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Today we’re joined by Jason Gauci, a Software Engineering Manager at Facebook AI. In our conversation with Jason, we explore their Reinforcement Learning platform, Re-Agent (Horizon). We discuss the role of decision making and game theory in the platform and the types of decisions they’re using Re-Agent to make, from ranking and recommendations to …
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447
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Today we’re joined by Saiph Savage, a Visiting professor at the Human-Computer Interaction Institute at CMU, director of the HCI Lab at WVU, and co-director of the Civic Innovation Lab at UNAM. We caught up with Saiph during NeurIPS where she delivered an insightful invited talk “A Future of Work for the Invisible Workers in A.I.”. In our conversat…
Sara Barron, Ivo Graham & Jenny Bede on the American Founding Father, the real man behind the hit musical Hamilton.By BBC Radio
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Trends in Graph Machine Learning with Michael Bronstein - #446
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Today we’re back with the final episode of AI Rewind joined by Michael Bronstein, a professor at Imperial College London and the Head of Graph Machine Learning at Twitter. In our conversation with Michael, we touch on his thoughts about the year in Machine Learning overall, including GPT-3 and Implicit Neural Representations, but spend a major chun…
Russell and panel take on US Founding Father Alexander Hamilton - of the musical fame..By BBC Radio
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Trends in Natural Language Processing with Sameer Singh - #445
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Today we continue the 2020 AI Rewind series, joined by friend of the show Sameer Singh, an Assistant Professor in the Department of Computer Science at UC Irvine. We last spoke with Sameer at our Natural Language Processing office hours back at TWIMLfest, and was the perfect person to help us break down 2020 in NLP. Sameer tackles the review in 4 m…
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Trends in Computer Vision with Pavan Turaga - #444
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AI Rewind continues today as we’re joined by Pavan Turaga, Associate Professor in both the Departments of Arts, Media, and Engineering & Electrical Engineering, and the Interim Director of the School of Arts, Media, and Engineering at Arizona State University. Pavan, who joined us back in June to talk through his work from CVPR ‘20, Invariance, Geo…
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MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
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Today we close out our NeurIPS series joined by Aravind Rajeswaran, a PhD Student in machine learning and robotics at the University of Washington. At NeurIPS, Aravind presented his paper MOReL: Model-Based Offline Reinforcement Learning. In our conversation, we explore model-based reinforcement learning, and if models are a “prerequisite” to achie…
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Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441
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As we continue our NeurIPS 2020 series, we’re joined by friend-of-the-show Charles Isbell, Dean, John P. Imlay, Jr. Chair, and professor at the Georgia Tech College of Computing. This year Charles gave an Invited Talk at this year’s conference, You Can’t Escape Hyperparameters and Latent Variables: Machine Learning as a Software Engineering Enterpr…
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Natural Graph Networks with Taco Cohen - #440
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Today we kick off our NeurIPS 2020 series joined by Taco Cohen, a Machine Learning Researcher at Qualcomm Technologies. In our conversation with Taco, we discuss his current research in equivariant networks and video compression using generative models, as well as his paper “Natural Graph Networks,” which explores the concept of “naturality, a gene…
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Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
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Today we close out our re:Invent series joined by Edgar Bahilo Rodriguez, Lead Data Scientist in the industrial applications division of Siemens Energy. Edgar spoke at this year's re:Invent conference about Productionizing R Workloads, and the resurrection of R for machine learning and productionalization. In our conversation with Edgar, we explore…
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ML Feature Store at Intuit with Srivathsan Canchi - #438
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Today we continue our re:Invent series with Srivathsan Canchi, Head of Engineering for the Machine Learning Platform team at Intuit. As we teased earlier this week, one of the major announcements coming from AWS at re:Invent was the release of the SageMaker Feature Store. To our pleasant surprise, we came to learn that our friends at Intuit are the…
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re:Invent Roundup 2020 with Swami Sivasubramanian - #437
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Today we’re kicking off our annual re:invent series joined by Swami Sivasubramanian, VP of Artificial Intelligence, at AWS. During re:Invent last week, Amazon made a ton of announcements on the machine learning front, including quite a few advancements to SageMaker. In this roundup conversation, we discuss the motivation for hosting the first-ever …
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Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436
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Today we’re joined by Subarna Sinha, Machine Learning Engineering Leader at 23andMe. 23andMe handles a massive amount of genomic data every year from its core ancestry business but also uses that data for disease prediction, which is the core use case we discuss in our conversation. Subarna talks us through an initial use case of creating an evalua…
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Scaling Video AI at RTL with Daan Odijk - #435
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Today we’re joined by Daan Odijk, Data Science Manager at RTL. In our conversation with Daan, we explore the RTL MLOps journey, and their need to put platform infrastructure in place for ad optimization and forecasting, personalization, and content understanding use cases. Daan walks us through some of the challenges on both the modeling and engine…
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Benchmarking ML with MLCommons w/ Peter Mattson - #434
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Today we’re joined by Peter Mattson, General Chair at MLPerf, a Staff Engineer at Google, and President of MLCommons. In our conversation with Peter, we discuss MLCommons and MLPerf, the former an open engineering group with the goal of accelerating machine learning innovation, and the latter a set of standardized Machine Learning speed benchmarks …
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Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
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Today we’re joined by Charlene Chambliss, Machine Learning Engineer at Primer AI. Charlene, who we also had the pleasure of hosting at NLP Office Hours during TWIMLfest, is back to share some of the work she’s been doing with NLP. In our conversation, we explore her experiences working with newer NLP models and tools like BERT and HuggingFace, as w…
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Feature Stores for Accelerating AI Development - #432
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In this special episode of the podcast, we're joined by Kevin Stumpf, Co-Founder and CTO of Tecton, Willem Pienaar, an engineering lead at Gojek and founder of the Feast Project, and Maxime Beauchemin, Founder & CEO of Preset, for a discussion on Feature Stores for Accelerating AI Development. In this panel discussion, Sam and our guests explored h…
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
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In this special edition of the podcast, we're joined by Shalini Kantayya, the director of Coded Bias, and Deb Raji and Meredith Broussard, who both contributed to the film. In this panel discussion, Sam and our guests explored the societal implications of the biases embedded within AI algorithms. The conversation discussed examples of AI systems wi…
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Common Sense as an Algorithmic Framework with Dileep George - #430
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Today we’re joined by Dileep George, Founder and the CTO of Vicarious. Dileep, who was also a co-founder of Numenta, works at the intersection of AI research and neuroscience, and famously pioneered the hierarchical temporal memory. In our conversation, we explore the importance of mimicking the brain when looking to achieve artificial general inte…
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Creative AI with David Usher
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Google Brain - Pablo Samuel Castro - - Episode 1
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In this episode, David talks to Pablo Samuel Castro from Google Brain about Lyric AI, an artificial intelligence agent that can collaborate with humans on song lyrics, his work in music and artificial intelligence, and Agence from Transitional Forms, a new game in VR. For business enquires contact: hello@reimagine.ai Links from this episode: https:…
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Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
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Today we’re joined by Sushil Thomas, VP of Engineering for Machine Learning at Cloudera. Over the summer, I had the pleasure of hosting Sushil and a handful of business leaders across industries at the Cloudera Virtual Roundtable. In this conversation with Sushil, we recap the roundtable, exploring some of the topics discussed and insights gained f…
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Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
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Today we’re joined by Devin Singh, a Physician Lead for Clinical Artificial Intelligence & Machine Learning in Pediatric Emergency Medicine at the Hospital for Sick Children (SickKids) in Toronto, and Founder and CEO of HeroAI. In our conversation with Devin, we discuss some of the interesting ways that Devin is deploying machine learning within th…
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Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
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Today we’re joined by Roland Memisevic, return podcast guest and Co-Founder & CEO of Twenty Billion Neurons. We last spoke to Roland in 2018, and just earlier this year TwentyBN made a sharp pivot to a surprising use case, a companion app called Fitness Ally, an interactive, personalized fitness coach on your phone. In our conversation with Roland,…
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Fighting Global Health Disparities with AI w/ Jon Wang - #426
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Today we’re joined by Jon Wang, a medical student at UCSF, and former Gates Scholar and AI researcher at the Bill and Melinda Gates Foundation. In our conversation with Jon, we explore a few of the different ways he’s attacking various public health issues, including improving the electronic health records system through automating clinical order s…
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Accessibility and Computer Vision - #425
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Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. Engaging with digital imagery has become fundamental to participating in contemporary society, including education, the professions, e-commerce, civics,…
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NLP for Equity Investing with Frank Zhao - #424
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Today we’re joined by Frank Zhao, Senior Director of Quantamental Research at S&P Global Market Intelligence. In our conversation with Frank, we explore how he came to work at the intersection of ML and finance, and how he navigates the relationship between data science and domain expertise. We also discuss the rise of data science in the investmen…
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The Future of Education and AI with Salman Khan - #423
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In the final #TWIMLfest Keynote Interview, we’re joined by Salman Khan, Founder of Khan Academy. In our conversation with Sal, we explore the amazing origin story of the academy, and how coronavirus is shaping the future of education and remote and distance learning, for better and for worse. We also explore Sal’s perspective on machine learning an…
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Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422
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In this special #TWIMLfest Keynote episode, we’re joined by Milind Tambe, Director of AI for Social Good at Google Research India, and Director of the Center for Research in Computation and Society (CRCS) at Harvard University. In our conversation, we explore Milind’s various research interests, most of which fall under the umbrella of AI for Socia…
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What's Next for Fast.ai? w/ Jeremy Howard - #421
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In this special #TWIMLfest episode of the podcast, we’re joined by Jeremy Howard, Founder of Fast.ai. In our conversation with Jeremy, we discuss his career path, including his journey through the consulting world and how those experiences led him down the path to ML education, his thoughts on the current state of the machine learning adoption cycl…
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Feature Stores for MLOps with Mike del Balso - #420
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Today we’re joined by Mike del Balso, co-Founder and CEO of Tecton. Mike, who you might remember from our last conversation on the podcast, was a foundational member of the Uber team that created their ML platform, Michelangelo. Since his departure from the company in 2018, he has been busy building up Tecton, and their enterprise feature store. In…
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Exploring Causality and Community with Suzana Ilić - #419
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In this special #TWIMLfest episode, we’re joined by Suzana Ilić, a computational linguist at Causaly and founder of Machine Learning Tokyo (MLT). Suzana joined us as a keynote speaker to discuss the origins of the MLT community, but we cover a lot of ground in this conversation. We briefly discuss Suzana’s work at Causaly, touching on her experienc…
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Decolonizing AI with Shakir Mohamed - #418
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In this special #TWIMLfest edition of the podcast, we’re joined by Shakir Mohamed, a Senior Research Scientist at DeepMind. Shakir is also a leader of Deep Learning Indaba, a non-profit organization whose mission is to Strengthen African Machine Learning and Artificial Intelligence. In our conversation with Shakir, we discuss his recent paper ‘Deco…
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Spatial Analysis for Real-Time Video Processing with Adina Trufinescu
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Today we’re joined by Adina Trufinescu, Principal Program Manager at Microsoft, to discuss some of the computer vision updates announced at Ignite 2020. We focus on the technical innovations that went into their recently announced spatial analysis software, and the software’s use cases including the movement of people within spaces, distance measur…
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How Deep Learning has Revolutionized OCR with Cha Zhang - #416
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Today we’re joined by Cha Zhang, a Partner Engineering Manager at Microsoft Cloud & AI. Cha’s work at MSFT is focused on exploring ways that new technologies can be applied to optical character recognition, or OCR, pushing the boundaries of what has been seen as an otherwise ‘solved’ problem. In our conversation with Cha, we explore some of the tra…
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Machine Learning for Food Delivery at Global Scale - #415
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In this special edition of the show, we discuss the various ways in which machine learning plays a role in helping businesses overcome their challenges in the food delivery space. A few weeks ago Sam had the opportunity to moderate a panel at the Prosus AI Marketplace virtual event with Sandor Caetano of iFood, Dale Vaz of Swiggy, Nicolas Guenon of…
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Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414
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Today we're joined by Jeff Gehlhaar, VP of Technology at Qualcomm, and Zahra Koochak, Staff Machine Learning Engineer at Qualcomm AI Research. If you haven’t had a chance to listen to our first interview with Jeff, I encourage you to check it out here! In this conversation, we catch up with Jeff and Zahra to get an update on what the company has up…
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Visualizing Climate Impact with GANs w/ Sasha Luccioni - #413
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Today we’re joined by Sasha Luccioni, a Postdoctoral Researcher at the MILA Institute, and moderator of our upcoming TWIMLfest Panel, ‘Machine Learning in the Fight Against Climate Change.’ We were first introduced to Sasha’s work through her paper on ‘Visualizing The Consequences Of Climate Change Using Cycle-consistent Adversarial Networks’, and …
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ML-Powered Language Learning at Duolingo with Burr Settles - #412
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Today we’re joined by Burr Settles, Research Director at Duolingo. Most would acknowledge that one of the most effective ways to learn is one on one with a tutor, and Duolingo’s main goal is to replicate that at scale. In our conversation with Burr, we dig how the business model has changed over time, the properties that make a good tutor, and how …
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Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411
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Today we’re joined by Artur Yakimovich, Co-Founder at Artificial Intelligence for Life Sciences and a visiting scientist in the Lab for Molecular Cell Biology at University College London. In our conversation with Artur, we explore the gulf that exists between life science researchers and the tools and applications used by computer scientists. Whil…
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Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410
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Today we’re joined by Kavita Bala, the Dean of Computing and Information Science at Cornell University. Kavita, whose research explores the overlap of computer vision and computer graphics, joined us to discuss a few of her projects, including GrokStyle, a startup that was recently acquired by Facebook and is currently being deployed across their M…
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That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409
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Today we’re joined by Nikos Athanasiou, Muhammed Kocabas, Ph.D. students, and Michael Black, Director of the Max Planck Institute for Intelligent Systems. We caught up with the group to explore their paper VIBE: Video Inference for Human Body Pose and Shape Estimation, which they submitted to CVPR 2020. In our conversation, we explore the problem t…
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3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408
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Today we’re joined by Georgia Gkioxari, a research scientist at Facebook AI Research. Georgia was hand-picked by the TWIML community to discuss her work on the recently released open-source library PyTorch3D. In our conversation, Georgia describes her experiences as a computer vision researcher prior to the 2012 deep learning explosion, and how the…
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What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407
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Today we’re joined by the legendary Michael I. Jordan, Distinguished Professor in the Departments of EECS and Statistics at UC Berkeley. Michael was gracious enough to connect us all the way from Italy after being named IEEE’s 2020 John von Neumann Medal recipient. In our conversation with Michael, we explore his career path, and how his influence …
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Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406
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Today we’re joined by Sameer Singh, an assistant professor in the department of computer science at UC Irvine. Sameer’s work centers on large-scale and interpretable machine learning applied to information extraction and natural language processing. We caught up with Sameer right after he was awarded the best paper award at ACL 2020 for his work on…
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How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405
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Today we’re joined by Gary Ren, a machine learning engineer for the logistics team at DoorDash. In our conversation, we explore how machine learning powers the entire logistics ecosystem. We discuss the stages of their “marketplace,” and how using ML for optimized route planning and matching affects consumers, dashers, and merchants. We also talk t…
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Machine Learning as a Software Engineering Discipline with Dillon Erb - #404
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Today we’re joined by Dillon Erb, Co-founder & CEO of Paperspace. We’ve followed Paperspace since their origins offering GPU-enabled compute resources to data scientists and machine learning developers, to the release of their Jupyter-based Gradient service. Our conversation with Dillon centered on the challenges that organizations face building an…
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AI and the Responsible Data Economy with Dawn Song - #403
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Today we’re joined by Professor of Computer Science at UC Berkeley, Dawn Song. Dawn’s research is centered at the intersection of AI, deep learning, security, and privacy. She’s currently focused on bringing these disciplines together with her startup, Oasis Labs. In our conversation, we explore their goals of building a ‘platform for a responsible…
