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Success rate is a little questionable, but as a proof of concept this is good enough I guess.

Interesting follow-up opinion piece on the collusion rings

71 Arguments why the ACT needs legged robots and a pretty impressive work.

Beautiful interactive tree of life

A bit slow, but I finally could figure out the common ancestor of the nine-banded armadillo and the common ostrich!

Another win for the tea aquarium!

Oh yes!

The generated inputs are quite strange, I wonder where else something like this occurs.

Toothache in space? No problem.

Let's keep a eye on this... Animals use odor cues to navigate through their environments, helping them locate targets and assess danger. Much of how animal brains organize, read out, and respond to odor stimuli across spatial and temporal scales is not well understood. To tackle these questions, Odor2Action uses a highly interdisciplinary team science approach. Our work uses fruit fly, honeybee, and mouse models to determine how neural representations of odor are generated, reformatted, and translated to generate useful behaviors that guide how animals interact with their environment.

reminds me of the methan smelling source finding study we did ...

Also Physics, Math, Statistics, CS , see https://portal.paperswithcode.com/

I had missed this project somehow :)

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.