Technology is advancing at an exponential rate often called the "Law of Accelerating Returns." If futurist predictions prove correct, we'll have advanced molecular manufacturing by around 2025, and possibly the replacement of humanity by vastly advanced machines a decade or two later.
This is a chronicle of our journey to that future, one advancing technology article at a time. I post the more significant and interesting articles as I come across them.
Tuesday, August 10, 2021
Protein Folding AI Is Making a ‘Once in a Generation’ Advance in Biology
I was waiting till the eleventh before I started knocking on your door here about this.
These A.I. protein folding programs certainly seems the breakthrough to Drexlers(and Feynman's) nanotechnology. I've actually had people say this can't. They say it's only one way - kind of like it's easier to multiply than to factor. AlphaFold and the Institute for Protein Design's software show that they can solve how a set of amino acids can fold up into the desired shape from x-ray crystalography. Saying you want to make a certain mechanical shape is the equivalent.
The alphafold program appears to be molecularly accurate; but, they can only solve one protei. They also have a lot more computing power than the Institute for Protein Design. But, the David Baker teams software can solve protein complexes - two or more at a time. Give them more computing power, and they can probably solve them to molecular precision.
I know that David Baker is well aware of the Drexlerian/Feynman nanotech idea. His team has actually already made molecular gears and driveshafts. That was before their latest software advances.
I emailed David Baker to see if his University would get him a Cerebras CS-2; he never replied . . .
The electron microscope's might surprise with making nano-manufacturing happen before the protein and DNA nanotechnologists. The Oak Ridge boys(as I like to call them) have automated many processes. This could take some explaining. They'd have to prep slids and such before putting materials and such into the electron microscope. And, I'm thinking some other things are automated. Well, they've uses A.I. to automate much data processing.
Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy" - this is the article name. Youtube doesn't allow me to leave links, but I've found it,
https://pubs.acs.org/doi/10.1021/acsnano.1c02104
Another recent electron microscope article - Mechanism of Electron-Beam Manipulation of Single-Dopant Atoms in Silicon
This might only be a single atom; but, that's kind of the point. Just a year or so ago, the electron microscopes were 3d printing at maybe 20 nano-mter resolution.
Once again, I'd have to go googling to find the article. I guess I should just leave the youtube where I've found is pretty stable and not going to be taken down . . . where I like to keep track of all this nanotech,
Then, there's was this article from 2019, posted a few days ago at physorg,
Patterning Si at the 1 nm Length Scale with Aberration‐Corrected Electron‐Beam Lithography: Tuning of Plasmonic Properties by Design, Advanced Functional Materials (2019). -
When I googled it, I found lots of science and nanotech news sites re-posting this. I'm thinking this group has maybe advanced beyond what's presented here. Also note, that this electron microscope uses plasma to get to pretty close to single atom resolution.
4 comments:
I was waiting till the eleventh before I started knocking on your door here about this.
These A.I. protein folding programs certainly seems the breakthrough to Drexlers(and Feynman's) nanotechnology. I've actually had people say this can't. They say it's only one way - kind of like it's easier to multiply than to factor. AlphaFold and the Institute for Protein Design's software show that they can solve how a set of amino acids can fold up into the desired shape from x-ray crystalography. Saying you want to make a certain mechanical shape is the equivalent.
The alphafold program appears to be molecularly accurate; but, they can only solve one protei. They also have a lot more computing power than the Institute for Protein Design. But, the David Baker teams software can solve protein complexes - two or more at a time. Give them more computing power, and they can probably solve them to molecular precision.
I know that David Baker is well aware of the Drexlerian/Feynman nanotech idea. His team has actually already made molecular gears and driveshafts. That was before their latest software advances.
I emailed David Baker to see if his University would get him a Cerebras CS-2; he never replied . . .
Very interesting. Thanks for the input.
i've got plenty more where that came from
Well, I'll go ahead and share some more!
The electron microscope's might surprise with making nano-manufacturing happen before the protein and DNA nanotechnologists. The Oak Ridge boys(as I like to call them) have automated many processes. This could take some explaining. They'd have to prep slids and such before putting materials and such into the electron microscope. And, I'm thinking some other things are automated. Well, they've uses A.I. to automate much data processing.
Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy" - this is the article name. Youtube doesn't allow me to leave links, but I've found it,
https://pubs.acs.org/doi/10.1021/acsnano.1c02104
Another recent electron microscope article - Mechanism of Electron-Beam Manipulation of Single-Dopant Atoms in Silicon
This might only be a single atom; but, that's kind of the point. Just a year or so ago, the electron microscopes were 3d printing at maybe 20 nano-mter resolution.
Once again, I'd have to go googling to find the article. I guess I should just leave the youtube where I've found is pretty stable and not going to be taken down . . . where I like to keep track of all this nanotech,
https://www.youtube.com/watch?v=swlFPXeeuQw&t=143s
Then, there's was this article from 2019, posted a few days ago at physorg,
Patterning Si at the 1 nm Length Scale with Aberration‐Corrected Electron‐Beam Lithography: Tuning of Plasmonic Properties by Design, Advanced Functional Materials (2019). -
When I googled it, I found lots of science and nanotech news sites re-posting this. I'm thinking this group has maybe advanced beyond what's presented here. Also note, that this electron microscope uses plasma to get to pretty close to single atom resolution.
Post a Comment