What's Next for Fast.ai? w/ Jeremy Howard - #421
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 cycle, and if we’re at maximum capacity for deep learning use and capability. Of course, we dig into the newest version of the fast.ai framework and course, the reception of Jeremy’s book ‘Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD,’ and what’s missing from the machine learning education landscape. If you’ve missed our previous conversations with Jeremy, I encourage you to check them out here and here. The complete show notes for this episode can be found at https://twimlai.com/go/421.
21 Loka 20201h 1min
Feature Stores for MLOps with Mike del Balso - #420
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 our conversation, Mike walks us through why he chose to focus on the feature store aspects of the machine learning platform, the journey, personal and otherwise, to operationalizing machine learning, and the capabilities that more mature platforms teams tend to look for or need to build. We also explore the differences between standalone components and feature stores, if organizations are taking their existing databases and building feature stores with them, and what a dynamic, always available feature store looks like in deployment. Finally, we explore what sets Tecton apart from other vendors in this space, including enterprise cloud providers who are throwing their hat in the ring. The complete show notes for this episode can be found at twimlai.com/go/420. Thanks to our friends at Tecton for sponsoring this episode of the podcast! Find out more about what they're up to at tecton.ai.
19 Loka 202045min
Exploring Causality and Community with Suzana Ilić - #419
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 experiences transitioning from linguist and domain expert to working with causal modeling, balancing her role as both product manager and leader of the development team for their causality extraction module, and the unique ways that she thinks about UI in relation to their product. We also spend quite a bit of time exploring MLT, including how they’ve achieved exponential growth within the community over the past few years and when Suzana knew MLT was moving beyond just a personal endeavor, her experiences publishing papers at major ML conferences as an independent organization, and inspires her within the broader ML/AI Community. And of course, we answer quite a few great questions from our live audience!
16 Loka 202054min
Decolonizing AI with Shakir Mohamed - #418
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 ‘Decolonial AI,’ the distinction between decolonizing AI and ethical AI, while also exploring the origin of the Indaba, the phases of community, and much more. The complete show notes for this episode can be found at twimlai.com/go/418.
14 Loka 202054min
Spatial Analysis for Real-Time Video Processing with Adina Trufinescu
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 measurements (social distancing), and more. We also discuss the ‘responsible AI guidelines’ put in place to curb bad actors potentially using this software for surveillance, what techniques are being used to do object detection and image classification, and the challenges to productizing this research. The complete show notes for this episode can be found at twimlai.com/go/417.
8 Loka 202039min
How Deep Learning has Revolutionized OCR with Cha Zhang - #416
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 traditional challenges of doing OCR in the wild, and what are the ways in which deep learning algorithms are being applied to transform these solutions. We also discuss the difficulties of using an end to end pipeline for OCR work, if there is a semi-supervised framing that could be used for OCR, the role of techniques like neural architecture search, how advances in NLP could influence the advancement of OCR problems, and much more. The complete show notes for this episode can be found at twimlai.com/go/416.
5 Loka 202057min
Machine Learning for Food Delivery at Global Scale - #415
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 Delivery Hero, and Euro Beinat of Prosus. In this conversation, panelists describe the application of machine learning to a variety of business use cases, including how they deliver recommendations, the unique ways they handle the logistics of deliveries, and fraud and abuse prevention. The complete show notes for this episode can be found at twimlai.com/go/415.
2 Loka 202057min
Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414
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 to since our last conversation, including the Snapdragon 865 chipset and Hexagon Neural Network Direct. We also discuss open-source projects like the AI efficiency toolkit and Tensor Virtual Machine compiler, and how these projects fit in the broader Qualcomm ecosystem. Finally, we talk through their vision for on-device federated learning. The complete show notes for this page can be found at twimlai.com/go/414.
30 Syys 202042min
