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Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Release Date: 12/13/2019

Computer Vision for Remote AR with Flora Tasse - #390 show art Computer Vision for Remote AR with Flora Tasse - #390

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we conclude our CVPR coverage joined by Flora Tasse, Head of Computer Vision & AI Research at Streem. Flora, a keynote speaker at the AR/VR workshop, walks us through some of the interesting use cases at the intersection of AI, CV, and AR technologies, her current work and the origin of her company Selerio, which was eventually acquired by Streem, the difficulties associated with building 3D mesh environments, extracting metadata from those environments, the challenges of pose estimation and more.

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Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389 show art Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we're Julian Quiroga, a Computer Vision Team Lead at Genius Sports, to discuss his recent paper “As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition.” We explore camera setups and angles, detection and localization of figures on the court (players, refs, and of course, the ball), and the role that deep learning plays in the process. We also break down how this work applies to different sports, and the ways that he is looking to improve i

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How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388 show art How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re taking a break from our CVPR coverage to bring you this interview with Deb Raji, a Technology Fellow at the AI Now Institute.

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AI for High-Stakes Decision Making with Hima Lakkaraju - #387 show art AI for High-Stakes Decision Making with Hima Lakkaraju - #387

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Hima Lakkaraju, an Assistant Professor at Harvard University. At CVPR, Hima was a keynote speaker at the Fair, Data-Efficient and Trusted Computer Vision Workshop, where she spoke on Understanding the Perils of Black Box Explanations. Hima talks us through her presentation, which focuses on the unreliability of explainability techniques that center perturbations, such as LIME or SHAP, as well as how attacks on these models can be carried out, and what they look like.

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Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386 show art Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

We continue our CVPR coverage with today’s guest, Pavan Turaga, Associate Professor at Arizona State University. Pavan gave a keynote presentation at the Differential Geometry in CV and ML Workshop, speaking on Revisiting Invariants with Geometry and Deep Learning. We go in-depth on Pavan’s research on integrating physics-based principles into computer vision. We also discuss the context of the term “invariant,” and Pavan contextualizes this work in relation to Hinton’s similar Capsule Network res

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Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385 show art Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Babak Ehteshami Bejnordi, a Research Scientist at Qualcomm.

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Machine Learning Commerce at Square with Marsal Gavalda - #384 show art Machine Learning Commerce at Square with Marsal Gavalda - #384

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Marsal Gavalda, head of machine learning for the Commerce platform at Square, where he manages the development of machine learning for various tools and platforms, including marketing, appointments, and above all, risk management.

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Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383 show art Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Jianxu Chen, a scientist at the Allen Institute for Cell Science.

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Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382 show art Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Andreas Madsen, an independent researcher based in Denmark. While we caught up with Andreas to discuss his ICLR spotlight paper, “Neural Arithmetic Units,” we also spend time exploring his experience as an independent researcher, discussing the difficulties of working with limited resources, the importance of finding peers to collaborate with, and tempering expectations of getting papers accepted to conferences -- something that might take a few tries to get right.

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2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381 show art 2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Rumman Chowdhury, Managing Director and Global Lead of Responsible AI at Accenture. In our conversation with Rumman, we explored questions like: 

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More Episodes

Today we kick off our re:Invent 2019 series with Ville Tuulos, Machine Learning Infrastructure Manager at Netflix. At re:Invent, Netflix announced the open-sourcing of Metaflow, their “human-centric framework for data science.” In our conversation, we discuss all things Metaflow, including:

  • The problem Metaflow is trying to solve
  • Why it was important for Netflix to open-source Metaflow
  • Core Features
  • The user experience accessing and managing data, experimentation, training and model development
  • The various supported tools and libraries


If you’re interested in checking out a Metaflow democast with Villa, reach out at twimlai.com/contact!