On this episode, we are joined by Stephen Larson, the CEO of MetaCell and an affiliate of the OpenWorm foundation. Stephen discussed what the Openworm project is about. They hope to use a digital C. elegans nematode (C. elegans for short) to study the basics of life.
Stephen discussed why C. elegans is an ideal organism for studying life in the lab. He also discussed the steps involved in simulating a digital organism. He mentioned the constraints on the cellular scale that informed their development of a digital C. elegans.
Stephen discussed the validation process of the simulation. He discussed how they discovered the best parameters to capture the behavior of natural C. elegans. He also discussed how biologists embraced the project.
Stephen discussed the computational requirements for improving the simulation parameters of the model and the kind of data they require to scale up. Stephen discussed some findings that the machine-learning communities can take away from the project. He also mentioned how students can get involved in the Openworm project. Rounding up, he shared future plans for the project.
Self-Explaining AI
Plastic Bag Bans
Self Driving Cars and Pedestrians
Computer Vision is Not Perfect
Uncertainty Representations
AlphaGo, COVID-19 Contact Tracing and New Data Set
Visualizing Uncertainty
Interpretability Tooling
Shapley Values
Anchors as Explanations
Mathematical Models of Ecological Systems
Adversarial Explanations
ObjectNet
Visualization and Interpretability
Interpretable One Shot Learning
Fooling Computer Vision
Algorithmic Fairness
Interpretability
NLP in 2019
The Limits of NLP
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