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Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527

Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527

Take our survey at twimlai.com/survey21! Today we’re joined by Tim Rocktäschel, a research scientist at Facebook AI Research and an associate professor at University College London (UCL). Tim’s work focuses on training RL agents in simulated environments, with the goal of these agents being able to generalize to novel…

43 MinutesThe TWIML AI Podcast

Federated Learning 📱

Federated Learning 📱

Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and…

45 MinutesPractical AI

Building Technical Communities at Stack Overflow with Prashanth Chandrasekar - #526

Building Technical Communities at Stack Overflow with Prashanth Chandrasekar - #526

In this special episode of the show, we’re excited to bring you our conversation with Prashanth Chandrasekar, CEO of Stack Overflow. This interview was recorded as a part of the annual Prosus AI Marketplace event. In our discussion with Prashanth, we explore the impact the pandemic has had on Stack Overflow, how they…

41 MinutesThe TWIML AI Podcast

Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525

Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525

Today we’re joined by Joseph Soriaga, a senior director of technology at Qualcomm. In our conversation with Joseph, we focus on a pair of papers that he and his team will be presenting at Globecom later this year. The first, Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking, details the use…

40 MinutesThe TWIML AI Podcast

The mathematics of machine learning

The mathematics of machine learning

Tivadar Danka is an educator and content creator in the machine learning space, and he is writing a book to help practitioners go from high school mathematics to mathematics of neural networks. His explanations are lucid and easy to understand. You have never had such a fun and interesting conversation about calculus…

38 MinutesPractical AI

Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524

Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524

Today we’re joined by Kanaka Rajan, an assistant professor at the Icahn School of Medicine at Mt Sinai. Kanaka, who is a recent recipient of the NSF Career Award, bridges the gap between the worlds of biology and artificial intelligence with her work in computer science. In our conversation, we explore how she builds…

47 MinutesThe TWIML AI Podcast

Do You Dare Run Your ML Experiments in Production? with Ville Tuulos - #523

Do You Dare Run Your ML Experiments in Production? with Ville Tuulos - #523

Today we’re joined by a friend of the show and return guest Ville Tuulos, CEO and co-founder of Outerbounds. In our previous conversations with Ville, we explored his experience building and deploying the open-source framework, Metaflow, while working at Netflix. Since our last chat, Ville has embarked on a few new…

41 MinutesThe TWIML AI Podcast

Balancing human intelligence with AI

Balancing human intelligence with AI

Polarity Mapping is a framework to “help problems be solved in a realistic and multidimensional manner” (see here for more info). In this week’s fully connected episode, Chris and Daniel use this framework to help them discuss how an organization can strike a good balance between human intelligence and AI. AI can’t…

42 MinutesPractical AI

Delivering Neural Speech Services at Scale with Li Jiang - #522

Delivering Neural Speech Services at Scale with Li Jiang - #522

Today we’re joined by Li Jiang, a distinguished engineer at Microsoft working on Azure Speech. In our conversation with Li, we discuss his journey across 27 years at Microsoft, where he’s worked on, among other things, audio and speech recognition technologies. We explore his thoughts on the advancements in speech…

49 MinutesThe TWIML AI Podcast

AI’s Legal and Ethical Implications with Sandra Wachter - #521

AI’s Legal and Ethical Implications with Sandra Wachter - #521

Today we’re joined by Sandra Wacther, an associate professor and senior research fellow at the University of Oxford. Sandra’s work lies at the intersection of law and AI, focused on what she likes to call “algorithmic accountability”. In our conversation, we explore algorithmic accountability in three segments…

49 MinutesThe TWIML AI Podcast

From notebooks to Netflix scale with Metaflow

From notebooks to Netflix scale with Metaflow

As you start developing an AI/ML based solution, you quickly figure out that you need to run workflows. Not only that, you might need to run those workflows across various kinds of infrastructure (including GPUs) at scale. Ville Tuulos developed Metaflow while working at Netflix to help data scientists scale their…

48 MinutesPractical AI

Compositional ML and the Future of Software Development with Dillon Erb - #520

Compositional ML and the Future of Software Development with Dillon Erb - #520

Today we’re joined by Dillon Erb, CEO of Paperspace. If you’re not familiar with Dillon, he joined us about a year ago to discuss Machine Learning as a Software Engineering Discipline; we strongly encourage you to check out that interview as well. In our conversation, we explore the idea of compositional AI, and if it…

41 MinutesThe TWIML AI Podcast