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.
Automatic Identification of Outlier Galaxy Images
Do We Need Deep Learning in Time Series
Detecting Drift
Darts Library for Time Series
Forecasting Principles and Practice
Prequisites for Time Series
Orders of Magnitude
They're Coming for Our Jobs
Pandemic Machine Learning Pitfalls
Flesch Kincaid Readability Tests
Fairness Aware Outlier Detection
Life May be Rare
Social Networks
The QAnon Conspiracy
Benchmarking Vision on Edge vs Cloud
Goodhart's Law in Reinforcement Learning
Video Anomaly Detection
Fault Tolerant Distributed Gradient Descent
Decentralized Information Gathering
Leaderless Consensus
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