Physical AI: robots, scientific computing, and digital twins
Justin Hodges, PhDRead what I read, code what I code. I share lots of papers/code for topics in artificial intelligence/machine learning applied to engineering (CFD, FEA, numerical methods, aerodynamics, turbulence modeling, & more). I will publish enough to keep you busy.
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 132 | Founded | 2 years ago | Last Issue | 5 days ago |
| Active | |||||
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hodgesj.substack.comLatest Issues
Robotics News & Literature (October 12th)
A robot can have the right motion available and still fail because it receives an unfamiliar instruction, learns from an unhelpful error signal, or reaches contact too quickly. This week's work examines those less visible parts of the syste...
Robotics News & Literature (October 5th)
A robot reaches toward a cup, but someone moves it. Another remembers that a cube went under a cover, but cannot track the cover when it moves. A third predicts the next few movements accurately and still chooses the wrong route to its goal...
Interview with Pickle Robot's CTO: from unpacking basics to state of the art capabilities
“I think if your large model has solved out-of-distribution, you have reached artificial generalized intelligence. I think that’s how we’re grading that right now.”
— Ariana Eisenstein, co-founder and CTO, Pickle Robot
Ariana Eisens...
Training GINO on Rotor37 surface pressure
A beginner friendly benchmark using the official NeuralOperator model and a small compressor blade dataset
For this entry in the benchmark series, we are moving into turbomachinery. We will give a neural operator a compressor blade geometr...
Ahmed Body Dataset: Automotive ML Surrogates
A CFD surrogate tutorial
Here we train (in 15 min) NVIDIA PhysicsNeMo’s MeshGraphNet on a small subset of AhmedML as a starter for larger projects. We give the model the surface geometry and ask it to predict the time-averaged pressure coe...
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Authors
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\ud83d\udc4b Hello. My name is Justin and I am head of physical ai at CoreWeave. Read what I read - code what I code. I love applying #ai and #machinelearning to #engineering and scientific simulation.
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