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Volta Labs (YC W19) uses this technology to prepare samples for DNA sequencing. https://news.ycombinator.com/item?id=40075571


While it’s not in the ARPA-H announcement, the broader press coverage is using the moonshot frame. https://www.nytimes.com/2024/08/13/us/politics/biden-researc...


It's part of the cancer moonshot announced near the end of the Obama administration and headed by then-VP Biden after his son died of cancer. This is just one small funding part of that broader effort.


Check out vtk.js (and VTK proper) as a fairly mature implementation of this. I haven’t kept up with the development but it was pretty far ahead when it came out years ago.


Yes. I don't use it heavily, but I have set up an account and added a moderate number of articles to it. It has an option to notify you of new, relevant publications that works pretty well. It tends to find articles my pubmed RSS searches / google alerts miss.


The second layer is hard. I tried something in this space in mid-2018. Full text extraction and sentence segmentation tech was adequate, but extracting the discourse tree and building the graph was a bit of a struggle (trying to repurpose a collection of academic/open tools to get something useful). Never published or released the code.

If interested, a few rabbit holes to explore (no affiliations):

https://scite.ai -> best option for citation mapping, but same issues you described above

https://www.semanticscholar.org and AI2 -> the best group working on tooling in this space

https://www.weave.bio -> early startup trying to build this out

The hardest challenge in my view is solving the intermediate representation issue. You have to establish a DSL/nomenclature that provides the range required to represent a complete scholastic discourse while also being computable.


> The hardest challenge in my view is solving the intermediate representation issue.

Right, you'd basically be writing an interpreter for English


Have GPT translate down into a Controlled Natural Language. I tried having it translate to OWL, but it sucked.

https://en.wikipedia.org/wiki/Controlled_natural_language


“OWL”?


I assumed OWL='Web Ontology Language', which seems to make sense given that the topic is semantics - but OWL isn't a controlled vocabulary of a natural language, so I may be wrong.


You are correct, I just reached for the nearest machine readable knowledge format.


As someone who just got the 7B running on a base MacBook M1/8GB, I strongly agree. The rate of tool development & prompt generation should see the same increase that Stable Diffusion did a few months (weeks?) ago.

And given how early the cpp port is, there is likely plenty of performance headroom with more m1/m2-specific optimization.


A biorxiv paper on the neural sewing technology: https://www.biorxiv.org/content/biorxiv/early/2019/03/14/578... - I believe the authors are now at Neuralink.


The stitching is interesting - there are lots of near-term implantables with clinical benefits that this could benefit.

I'm less convinced by the overall concept of "I know kung fu", but easy deep brain stimulation or cascade monitoring is probably enough to make a tidy buck.


LateX Lab was/is exactly that: http://code.google.com/p/latex-lab/

A demo is up and running at http://docs.latexlab.org/

* not affiliated with the project in anyway, just remember using it awhile back.


Latex lab development seemed to have stopped over a year ago before they implemented real time collaberation, if it had continued I would have not have started sharelatex.


^^ What he said.


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