Gradient Dissent - A Machine Learning Podcast by W&B

Enterprise-scale machine translation with Spence Green, CEO of Lilt

Spence shares his experience creating a product around human-in-the-loop machine translation, and explains how machine translation has evolved over the years. --- Spence Green is co-founder and CEO of Lilt, an AI-powered language translation platform. Lilt combines human translators and ...

How Pandora deploys machine learning models into production with Amelia and Filip

Amelia and Filip give insights into the recommender systems powering Pandora, from developing models to balancing effectiveness and efficiency in production. --- Amelia Nybakke is a Software Engineer at Pandora. Her team is responsible for the production system that serves ...

Bringing genetic insights to everyone with Invitae's Head of AI, Matthew Davis

Matthew explains how combining machine learning and computational biology can provide mainstream medicine with better diagnostics and insights. --- Matthew Davis is Head of AI at Invitae, the largest and fastest growing genetic testing company in the world. His research ...

What could make AI conscious? with Wojciech Zaremba, co-founder of OpenAI

Wojciech joins us to talk the principles behind OpenAI, the Fermi Paradox, and the future stages of developments in AGI. --- Wojciech Zaremba is a co-founder of OpenAI, a research company dedicated to discovering and enacting the path to safe ...

Alyssa Simpson Rochwerger on responsible machine learning in the real world

From working on COVID-19 vaccine rollout to writing a book on responsible ML, Alyssa shares her thoughts on meaningful projects and the importance of teamwork. --- Alyssa Simpson Rochwerger is as a Director of Product at Blue Shield of California, ...

Stanford's Polly Fordyce on microfluidic platforms and machine learning

Polly explains how microfluidics allow bioengineering researchers to create high throughput data, and shares her experiences with biology and machine learning. --- Polly Fordyce is an Assistant Professor of Genetics and Bioengineering and fellow of the ChEM-H Institute at Stanford. ...

Nanit's Nimrod Shabtay on deployment and monitoring

A look at how Nimrod and the team at Nanit are building smart baby monitor systems, from data collection to model deployment and production monitoring. --- Nimrod Shabtay is a Senior Computer Vision Algorithm Developer at Nanit, a New York-based ...

The power of simulation and abstraction with Intel's Vladlen Koltun

From legged locomotion to autonomous driving, Vladlen explains how simulation and abstraction help us understand embodied intelligence. --- Vladlen Koltun is the Chief Scientist for Intelligent Systems at Intel, where he leads an international lab of researchers working in machine ...

Cade Metz, author of "Genius Makers", on the rise of AI

How Cade got access to the stories behind some of the biggest advancements in AI, and the dynamic playing out between leaders at companies like Google, Microsoft, and Facebook. Cade Metz is a New York Times reporter covering artificial intelligence, ...

Facebook AI Research’s Tim & Heinrich on democratizing reinforcement learning research

Since reinforcement learning requires hefty compute resources, it can be tough to keep up without a serious budget of your own. Find out how the team at Facebook AI Research (FAIR) is looking to increase access and level the playing ...

The not-so-secret secret behind building successful open source projects with Ludwig's Piero Molino

Piero shares the story of how Ludwig was created, as well as the ins and outs of how Ludwig works and the future of machine learning with no code. Piero is a Staff Research Scientist in the Hazy Research group ...

Primer CEO Sean Gourley on NLP, national defense, and establishing ground truth

In this episode of Gradient Dissent, Primer CEO Sean Gourley and Lukas Biewald sit down to talk about NLP, working with vast amounts of information, and how crucially it relates to national defense. They also chat about their experience of ...

Chris Anderson on Robocars, Drones and WIRED Magazine

Chris shares his journey starting from playing in R.E.M, becoming interested in physics to leading WIRED Magazine for 11 years. His robot fascination lead to starting a company that manufactures drones, and creating a community democratizing self-driving cars. Chris Anderson ...

Peter Norvig, Google’s Director of Research – singularity is in the eye of the beholder

We're thrilled to have Peter Norvig join us to talk about the evolution of deep learning, his industry-defining book, his work at Google, and what he thinks the future holds for machine learning research. Peter Norvig is a Director of ...

Building industrial strength NLP pipelines with Ines and Sofie of Explosion AI

Sofie and Ines walk us through how the new spaCy library helps build end to end SOTA natural language processing workflows. Ines Montani is the co-founder of Explosion AI, a digital studio specializing in tools for AI technology. She's a ...

Joaquin Candela, Tech Lead for Responsible AI at Facebook, on definitions of fairness

Joaquin chats about scaling and democratizing AI at Facebook, while understanding fairness and algorithmic bias. --- Joaquin Quiñonero Candela is Distinguished Tech Lead for Responsible AI at Facebook, where he aims to understand and mitigate the risks and unintended consequences ...

Taking hard lefts and the Medical ML Landscape with Zack Chase Lipton

How Zack went from being a musician to professor, how medical applications of Machine Learning are developing, and the challenges of counteracting bias in real world applications. Zachary Chase Lipton is an assistant professor of Operations Research and Machine Learning ...

Cultivating Machine Learning Communities with Suzanah Ilić

Building Level 5 Autonomous Vehicles with Lyft's Anantha Kancherla

As Lyft’s VP of Engineering, Software at Level 5, Autonomous Vehicle Program, Anantha Kancherla has a birds-eye view on what it takes to make self-driving cars work in the real world. He previously worked on Windows at Microsoft focusing on ...

ML Research and Production Pipelines with Chip Huyen

Chip Huyen is a writer and computer scientist currently working at a startup that focuses on machine learning production pipelines. Previously, she’s worked at NVIDIA, Netflix, and Primer. She helped launch Coc Coc - Vietnam’s second most popular web browser ...

Slow down and change one thing at a time - Advancing AI research with Josh Tobin

Josh Tobin is a researcher working at the intersection of machine learning and robotics. His research focuses on applying deep reinforcement learning, generative models, and synthetic data to problems in robotic perception and control. Additionally, he co-organizes a machine learning ...

Building tools for Machine Learning with Hamel Husain

Hamel Husain is a Staff Machine Learning Engineer at Github. He has extensive experience building data analytics and predictive modeling solutions for a wide range of industries, including: hospitality, telecom, retail, restaurant, entertainment and finance. He has built large data ...

Machine learning across industries with Vicki Boykis

Building trustworthy AI systems and combating potential malicious use – A conversation w/ Jack Clark

Jack Clark is the Strategy and Communications Director at OpenAI and formerly worked as the world’s only neural network reporter at Bloomberg. Lukas and Jack discuss AI policy, ethics, and the responsibilities of AI researchers. Toward Trustworthy AI Development: Mechanisms ...

Nicolas Koumchatzky - Machine Learning in Production for Self Driving Cars