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beautiful research, and fascinating how fast these polymers seem to self assemble at exit ...

This is a social sciences paper trying to make use of ML. Quote from text: "Social scientists studying the life course must find a way to reconcile a widespread belief that understanding has been generated by these data-as demonstrated by more than 750 published journal articles using the Fragile Families data (10)-with the fact that the very same data could not yield accurate predictions of these important outcomes." "(...) In other words, the submissions were much better at predicting each other than at predicting the truth."

an important message to learn from

Short movie, but very calming to watch. 4/5

An intelligent (that is, self-adaptive) cloak driven by deep learning. Quite cool, eh? Something we can get inspired by?

Seems to be a fun playground for Spiking Neural Networks right (from my newbie PoV)?

Also a repo here: https://github.com/thunil/Physics-Based-Deep-Learning definitely looks interesting

Now this looks quite convenient! :o

Can some of our quantum experts elaborate a bit on implications etc.? :) I'm not sure I follow.

I wonder if this could be used for irregular adaptive grids? From the description: "One application of the diagram is the idea of Voronoi entropy - a mathematical tool for quantitative characterisation of the orderliness of points distributed on a surface - i.e. how visually 'ordered' the tessellation is. I found this idea particularly fascinating especially when thinking about the aperiodicity and the infinite structure of the Penrose tiling. In these visuals, the Voronoi diagram is created using the vertices of the Penrose as its seed points. This creates a new type of Penrose Tiling, clearly different from the classical Penrose, however still exhibiting the fivefold structure of the original, while 'defects' begin to appear at the peripheries."

A nice look back into how JWST came to be and what it's all about. :)

Thoughts? :)