re:Invent Roundup 2020 with Swami Sivasubramanian - #437
Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436
Scaling Video AI at RTL with Daan Odijk - #435
Benchmarking ML with MLCommons w/ Peter Mattson - #434
Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
Feature Stores for Accelerating AI Development - #432
An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
Common Sense as an Algorithmic Framework with Dileep George - #430
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
Fighting Global Health Disparities with AI w/ Jon Wang - #426
Accessibility and Computer Vision - #425
NLP for Equity Investing with Frank Zhao - #424
The Future of Education and AI with Salman Khan - #423
Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422
What's Next for Fast.ai? w/ Jeremy Howard - #421
Feature Stores for MLOps with Mike del Balso - #420
Exploring Causality and Community with Suzana Ilić - #419
Decolonizing AI with Shakir Mohamed - #418
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