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Jordan Fisher — Skipping the Line with Autonomous Checkout
Jordan explains how Standard AI uses machine learning to track products and customers in challenging retail environments...
Drago Anguelov — Robustness, Safety, and Scalability at Way…
Drago discusses current trends in autonomous driving technology, the challenges of simulation and scalability, and why it's important to find rare exa...
James Cham — Investing in the Intersection of Business and …
James explains what investing in "the future of work" means, the importance of demystifying ML and making it more accessible, and how new technologies...
Tristan Handy — The Work Behind the Data Work
Tristan explains the rise of the modern data stack, how dbt makes data transformation easier, and why SQL is still so popular....
Johannes Otterbach — Unlocking ML for Traditional Companies
Johannes talks about quantum computing, the state of the ML tools ecosystem today, and the challenges of developing and deploying models for customers...
Mircea Neagovici — Robotic Process Automation (RPA) and ML
Mircea explains how machine learning unlocks the next level of potential for robotic process automation (RPA) and how ML teams differ from engineering...
Amelia & Filip — How Pandora Deploys ML Models into Product…
Amelia and Filip give insights into the recommender systems powering Pandora, from developing models to balancing effectiveness and efficiency in prod...
Wojciech Zaremba — What Could Make AI Conscious?
Wojciech joins us to talk the principles behind OpenAI, the Fermi paradox, and the future stages of developments in AGI....
Chris Mattmann — ML Applications on Earth, Mars, and Beyond
Chris shares some of the incredible work and innovations behind deep space exploration at NASA JPL and reflects on the past, present, and future of ma...
Peter & Boris — Fine-tuning OpenAI's GPT-3
Peter and Boris dive into the world of GPT-3: how people are applying OpenAI's flagship language model, why fine-tuning GPT-3 improves performance, an...
Ion Stoica — Spark, Ray, and Enterprise Open Source
Ion shares the stories behind developing the distributed computing frameworks Spark and Ray, and commercializing them into Databricks and Anyscale....
Stephan Fabel — Efficient Supercomputing with NVIDIA's Base…
Stephan talks about Base Command Platform, NVIDIA's software platform for its DGX SuperPOD infrastructure....
Chris Padwick — Smart Machines for More Sustainable Farming
Chris explains how Blue River Technology is building smart robots for more sustainable farming by identifying crops and weeds and only spraying the we...
Kathryn Hume — Financial Models, ML, and 17th-Century Philo…
Kathryn explains how the Royal Bank of Canada is using machine learning, and explores what Descartes and Newton might have thought about ML....
Josh Bloom — The Link Between Astronomy and ML
Josh explains how astronomy and machine learning have informed each other, their current limitations, and where their intersection goes from here....
Xavier Amatriain — Building AI-powered Primary Care
Xavier shares his experience deploying healthcare models, augmenting primary care with AI, the challenges of "ground truth" in medicine, and robustnes...
Spence Green — Enterprise-scale Machine Translation
Spence shares his experience creating a product around human-in-the-loop machine translation, and explains how machine translation has evolved over th...
Roger & DJ — The Rise of Big Data and CA's COVID-19 Response
Roger and DJ share some of the history behind data science as we know it today, and reflect on their experiences working on California's COVID-19 resp...