Heh.
Printable View
All the universe is a black hole. Possibly. With pics. Graphs, anyway.
https://cosmosmagazine.com/science/g...0Patel%20added.
Attachment 473709
Please explain as if I were a biologist.
Shit's complicated.
Or, if you're an advanced biologist who studies science in your spare time: that's a graph of the density of all the known objects in the known universe--mass vs size, where the triangles below and to the left aren't "possible" and their intersection maybe represents the whole thing at the instant before the big bang. And if the Hubble Radius lands on the black hole line then a) we can't prove there's anything outside that because if there is we never see any light from it anyway, so b) maybe we live in a black hole.
We “probably “ don’t live in a black hole sounds good to me
Does it snow in a black hole? If it does I'm good with it.
They had to put the COVID virus in there so we would recognize at least one thing.
https://youtu.be/snn69jBwSZM
What does it all mean..
This is essentially how a Navy sonar system can tell a Russian submarine from a US submarine.
Sent from my island using TGR Forums
This could also go in the AI thread but now there is AI based materials science. A model described as "AlphaFold for materials" paired with an AI-based automated materials science lab to do synthesis of the predicted materials.
https://www.technologyreview.com/202...als-discovery/
From EV batteries to solar cells to microchips, new materials can supercharge technological breakthroughs. But discovering them usually takes months or even years of trial-and-error research.
Google DeepMind hopes to change that with a new tool that uses deep learning to dramatically speed up the process of discovering new materials. Called graphical networks for material exploration (GNoME), the technology has already been used to predict structures for 2.2 million new materials, of which more than 700 have gone on to be created in the lab and are now being tested. It is described in a paper published in Nature today.
Alongside GNoME, Lawrence Berkeley National Laboratory also announced a new autonomous lab. The lab takes data from the materials database that includes some of GNoME’s discoveries and uses machine learning and robotic arms to engineer new materials without the help of humans. Google DeepMind says that together, these advancements show the potential of using AI to scale up the discovery and development of new materials.
GNoME can be described as AlphaFold for materials discovery, according to Ju Li, a materials science and engineering professor at the Massachusetts Institute of Technology. AlphaFold, a DeepMind AI system announced in 2020, predicts the structures of proteins with high accuracy and has since advanced biological research and drug discovery. Thanks to GNoME, the number of known stable materials has grown almost tenfold, to 421,000.
https://www.youtube.com/watch?v=KJ61koSsyyY
pretty insane we can just click around and learn anything
Attachment 478259
Sent from my iPhone using TGR Forums
TOOL FUCK YES^^^^^
Sent from my iPhone using TGR Forums
Neuralink????
https://www.youtube.com/watch?v=RfkHKWU4Yrk
i liked this guys take on life/entropy/mesoscale systems
Neri, Neri, Neri ...... you feckless cunt.
Watching Bill Ackman self-own is pretty fucking great, but honestly if we’re revisiting footnotes in decades old dissertations to try to fuck people over we’re bottoming out as a society.
story of the invention of the blue LED
Anyone have ideas for science experiments for toddlers? Last weekend it was pissing rain and i was solo parenting so i busted out vinegar, baking soda and food coloring and me and the 2yr old messed around with that. We also made ooblek (cornstarch/water non-newtonian fluid) and messed around with that.
He's 2, so attention span is minimal and the experiment needs to be very stimulating from a sensory standpoint. Im thinking something with magnets next, maybe something with sounds?