
Read 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 | 125 | Founded | 2 years ago | Last Issue | 4 days ago |
| Active | |||||

A recap with model highlights
I have been writing a lot of reviews and thought it was high time to make good shortlist of some of my favorite models. Following that, i’ll provide another literature review for ML surrogates over the past we...
A robot can recognize a plug and still fail to insert it. It can learn to fold a towel in one room and struggle in the next, or lose track of an object the moment it disappears into a box. This week’s research gets specific about these gaps...
PDF round-up on SciML
Company updates first, then papers with PDFs.
Code Tutorial + PDFs + Overview
I am kicking off a mini-series on state-of-the-art flavors of Physics-Informed Neural Nets. Honestly, just for pure love of the game (I know they are not as popular and have plenty of things setting them bac...
Last week ended with "the stack is the robot." This week asks what happens when that stack has to repeat: across a production line, a 1,500-robot warehouse, a weld cell, a model-update loop, or a greenhouse. The engineering theme is that sc...
Subscribers, engagement, traffic and sponsorship for Physical AI: robots, scientific computing, and digital twins.
| Subscribers | Engagement | 74 | Monthly Web Visits | ||
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| Accepts Sponsors | Estimated Cost per Ad | ||||
Where Physical AI: robots, scientific computing, and digital twins ranks on Google, and how much search traffic it brings in.
| Ranked Keywords | 122 | Monthly Search Traffic | Top Keywords |
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The writers behind this newsletter.
\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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