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Conversations with the people building AI

Automated Machine Learning with Erez Barak - #323

Automated Machine Learning with Erez Barak - #323

Today we’re joined by Erez Barak, Partner Group Manager of Azure ML at Microsoft. In our conversation, Erez gives us a full breakdown of his AutoML philosophy, and his take on the AutoML space, its role, and its importance. We also discuss the application of AutoML as a contributor to the end-to-end data science…

43 MinutesThe TWIML AI Podcast

Responsible AI in Practice with Sarah Bird - #322

Responsible AI in Practice with Sarah Bird - #322

Today we continue our Azure ML at Microsoft Ignite series joined by Sarah Bird, Principal Program Manager at Microsoft. At Ignite, Microsoft released new tools focused on responsible machine learning, which fall under the umbrella of the Azure ML 'Machine Learning Interpretability Toolkit.’ In our conversation, Sarah…

38 MinutesThe TWIML AI Podcast

Making GANs practical

Making GANs practical

GANs are at the center of AI hype. However, they are also starting to be extremely practical and be used to develop solutions to real problems. Jakub Langr and Vladimir Bok join us for a deep dive into GANs and their application. We discuss the basics of GANs, their various flavors, and open research problems.…

59 MinutesPractical AI

Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321

Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321

Today we’re joined by Jordan Edwards, Principal Program Manager for MLOps on Azure ML at Microsoft. In our conversation, Jordan details how Azure ML accelerates model lifecycle management with MLOps, which enables data scientists to collaborate with IT teams to increase the pace of model development and deployment. We…

39 MinutesThe TWIML AI Podcast

DevOps for ML with Dotscience - #320

DevOps for ML with Dotscience - #320

Today we’re joined by Luke Marsden, Founder and CEO of Dotscience. Luke walks us through the Dotscience platform and their manifesto on DevOps for ML. Thanks to Luke and Dotscience for their sponsorship of this Democast and their continued support of TWIML. Head to https://twimlai.com/democast/dotscience to watch the…

47 MinutesThe TWIML AI Podcast

Build custom ML tools with Streamlit

Build custom ML tools with Streamlit

Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app…

44 MinutesPractical AI

Building an Autonomous Knowledge Graph with Mike Tung - #319

Building an Autonomous Knowledge Graph with Mike Tung - #319

Today we’re joined by Mike Tung, Founder, and CEO of Diffbot. In our conversation, we discuss Diffbot’s Knowledge Graph, including how it differs from more mainstream use cases like Google Search and MSFT Bing. We also discuss the developer experience with the knowledge graph and other tools, like Extraction API and…

44 MinutesThe TWIML AI Podcast

The Next Generation of Self-Driving Engineers with Aaron Ma - Talk #318

The Next Generation of Self-Driving Engineers with Aaron Ma - Talk #318

Today we’re joined by our youngest guest ever (by far), Aaron Ma, an 11-year-old middle school student and machine learning engineer in training. Aaron has completed over 80(!) Coursera courses and is the recipient of 3 Udacity nano-degrees. In our conversation, we discuss Aaron’s research interests in reinforcement…

48 MinutesThe TWIML AI Podcast

Intelligent systems and knowledge graphs

Intelligent systems and knowledge graphs

There’s a lot of hype about knowledge graphs and AI-methods for building or using them, but what exactly is a knowledge graph? How is it different from a database or other data store? How can I build my own knowledge graph? James Fletcher from Grakn Labs helps us understand knowledge graphs in general and some…

57 MinutesPractical AI

Spiking Neural Networks: A Primer with Terrence Sejnowski - #317

Spiking Neural Networks: A Primer with Terrence Sejnowski - #317

On today’s episode, we’re joined by Terrence Sejnowski, to discuss the ins and outs of spiking neural networks, including brain architecture, the relationship between neuroscience and machine learning, and ways to make NN’s more efficient through spiking. Terry also gives us some insight into hardware used in this…

50 MinutesThe TWIML AI Podcast

Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316

Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316

Today we’re joined by return guest Xavier Amatriain, Co-founder and CTO of Curai, whose goal is to make healthcare accessible and scaleable while bringing down costs. In our conversation, we touch on the shortcomings of traditional primary care, and how Curai fills that role, and some of the unique challenges his team…

39 MinutesThe TWIML AI Podcast

Robot hands solving Rubik's cubes

Robot hands solving Rubik's cubes

Everyone is talking about it. OpenAI trained a pair of neural nets that enable a robot hand to solve a Rubik’s cube. That is super dope! The results have also generated a lot of commentary and controversy, mainly related to the way in which the results were represented on OpenAI’s blog. We dig into all of this in on…

45 MinutesPractical AI