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Conversations with the people building AI

Multi-GPU training is hard (without PyTorch Lightning)

Multi-GPU training is hard (without PyTorch Lightning)

William Falcon wants AI practitioners to spend more time on model development, and less time on engineering. PyTorch Lightning is a lightweight PyTorch wrapper for high-performance AI research that lets you train on multiple-GPUs, TPUs, CPUs and even in 16-bit precision without changing your code! In this episode, we…

46 MinutesPractical AI

Agile Applied AI Research with Parvez Ahammad - #492

Agile Applied AI Research with Parvez Ahammad - #492

Today we’re joined by Parvez Ahammad, head of data science applied research at LinkedIn. In our conversation, Parvez shares his interesting take on organizing principles for his organization, starting with how data science teams are broadly organized at LinkedIn. We explore how they ensure time investments on…

44 MinutesThe TWIML AI Podcast

Haptic Intelligence with Katherine J. Kuchenbecker - #491

Haptic Intelligence with Katherine J. Kuchenbecker - #491

Today we’re joined Katherine J. Kuchenbecker, director at the Max Planck Institute for Intelligent Systems and of the haptic intelligence department. In our conversation, we explore Katherine’s research interests, which lie at the intersection of haptics (physical interaction with the world) and machine learning…

38 MinutesThe TWIML AI Podcast

Learning to learn deep learning 📖

Learning to learn deep learning 📖

Chris and Daniel sit down to chat about some exciting new AI developments including wav2vec-u (an unsupervised speech recognition model) and meta-learning (a new book about “How To Learn Deep Learning And Thrive In The Digital World”). Along the way they discuss engineering skills for AI developers and strategies for…

44 MinutesPractical AI

Data Science on AWS with Chris Fregly and Antje Barth - #490

Data Science on AWS with Chris Fregly and Antje Barth - #490

Today we continue our coverage of the AWS ML Summit joined by Chris Fregly, a principal developer advocate at AWS, and Antje Barth, a senior developer advocate at AWS. In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently…

40 MinutesThe TWIML AI Podcast

Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489

Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489

Today we’re joined by Ziad Asghar, vice president of product management for snapdragon technologies & roadmap at Qualcomm Technologies. We begin our conversation with Ziad exploring the symbiosis between 5G and AI and what is enabling developers to take full advantage of AI on mobile devices. We also discuss the…

40 MinutesThe TWIML AI Podcast

The fastest way to build ML-powered apps

The fastest way to build ML-powered apps

Tuhin Srivastava tells Daniel and Chris why BaseTen is the application development toolkit for data scientists. BaseTen’s goal is to make it simple to serve machine learning models, write custom business logic around them, and expose those through API endpoints without configuring any infrastructure. Sponsors…

43 MinutesPractical AI

Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488

Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488

Today we’re joined by Nir Bar-Lev, co-founder and CEO of ClearML. In our conversation with Nir, we explore how his view of the wide vs deep machine learning platforms paradox has changed and evolved over time, how companies should think about building vs buying and integration, and his thoughts on why experiment…

43 MinutesThe TWIML AI Podcast

Applied AI Research at AWS with Alex Smola - #487

Applied AI Research at AWS with Alex Smola - #487

Today we’re joined by Alex Smola, Vice President and Distinguished Scientist at AWS AI. We had the pleasure to catch up with Alex prior to the upcoming AWS Machine Learning Summit, and we covered a TON of ground in the conversation. We start by focusing on his research in the domain of deep learning on graphs…

56 MinutesThe TWIML AI Podcast

Elixir meets machine learning

Elixir meets machine learning

Today we’re sharing a special crossover episode from The Changelog podcast here on Practical AI. Recently, Daniel Whitenack joined Jerod Santo to talk with José Valim, Elixir creator, about Numerical Elixir. This is José’s newest project that’s bringing Elixir into the world of machine learning. They discuss why José…

1h 02mPractical AI

Causal Models in Practice at Lyft with Sean Taylor - #486

Causal Models in Practice at Lyft with Sean Taylor - #486

Today we’re joined by Sean Taylor, Staff Data Scientist at Lyft Rideshare Labs. We cover a lot of ground with Sean, starting with his recent decision to step away from his previous role as the lab director to take a more hands-on role, and what inspired that change. We also discuss his research at Rideshare Labs…

40 MinutesThe TWIML AI Podcast

Using AI to Map the Human Immune System w/ Jabran Zahid - #485

Using AI to Map the Human Immune System w/ Jabran Zahid - #485

Today we’re joined by Jabran Zahid, a Senior Researcher at Microsoft Research. In our conversation with Jabran, we explore their recent endeavor into the complete mapping of which T-cells bind to which antigens through the Antigen Map Project. We discuss how Jabran’s background in astrophysics and cosmology has…

42 MinutesThe TWIML AI Podcast