Since the beginning of the coronavirus pandemic, we’ve seen an outpouring of interest on the part of data scientists and AI practitioners wanting to make a contribution. At the same time, some of the resulting efforts have been criticized for promoting the spread of misinformation or being disconnected from the applicable domain knowledge.
In this discussion, we explore how data scientists and ML/AI practitioners can responsibly contribute to the fight against coronavirus and COVID-19. Four experts: Rex Douglass, Rob Munro, Lea Shanley, and Gigi Yuen-Reed shared a ton of valuable insight on the best ways to get involved.
We've gathered all the resources that our panelists discussed during the conversation, you can find those at twimlai.com/talk/370.
Semantic Folding for Natural Language Understanding with Francisco Weber - #451
The Future of Autonomous Systems with Gurdeep Pall - #450
AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449
Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448
A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447
Trends in Graph Machine Learning with Michael Bronstein - #446
Trends in Natural Language Processing with Sameer Singh - #445
Trends in Computer Vision with Pavan Turaga - #444
Trends in Reinforcement Learning with Pablo Samuel Castro - #443
MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441
Natural Graph Networks with Taco Cohen - #440
Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
ML Feature Store at Intuit with Srivathsan Canchi - #438
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
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