sinab

Super cool project. Any plans to support other file types?

No its not. mak.ink saves text to LocalStorage, bangle.io uses the File System Access API to read and write from the users disk (https://web.dev/file-system-access/).

Note the use of chocolate cookies; I suspect these results would not hold if oatmeal raisin cookies were used instead.

Absolutely, I do think it is an overestimate. The angle of the video makes it hard to accurately estimate the size of the ball, and as you rightly pointed out an epsilon difference in size gives epsilon^5 differences in energy, so size estimates are extremely important.

The underlying assumption in this analysis is that the constant is 1.

Maybe I should have clarified that in the thread.. Thank you for pointing it out!

I made all of the data available and made some example Google Colab notebooks. Feel free to contribute with a PR

https://github.com/sbooeshaghi/SBA-PPP-Loan-Data

I'm surprised no one has discussed the possibility of using this device for reducing snoring sound transmission. I need to read the paper [1] more carefully but on first glance it seems like the effectiveness is best around 450 Hz and snoring is about 150Hz [2].

[1] https://journals.aps.org/prb/abstract/10.1103/PhysRevB.99.02...

[2] https://www.ncbi.nlm.nih.gov/pubmed/12071989

of course :)

Great suggestion! I’ll add those formats later today.

I should add that the GitHub page is here:

https://github.com/pachterlab/poseidon

Ooo this could be a great extension of the current microscope system! The only thing I've found is this https://www.thingiverse.com/thing:2525155 which while not motorized, allows for height adjustments.

Consider making an issue (tagged improvement) on the GitHub page!

https://github.com/pachterlab/poseidon

I love your enthusiasm! Why don't you shoot me an email and we can chat some point next week.. It would be really cool to get a great community around the project, extending capabilities and adapting the core technology to random equipment.

My email should be in my profile.

Thanks for the link! I'll check it out and send it to the other authors.

Hey amelius!

Great questions. The target audience for these instruments are scientists and hobbyists who don't want to spend a ton of money on similar commercial systems, and want the flexibility to modify their operation (e.g., poseidon can run custom flow profiles per experiment whereas off-the-shelf commercial systems typically only run one flow rate per experiment). The purpose of poseidon is to show that open source biological instruments can be developed and used by a community, similarly to how open source software tools in biology are developed and used.

Academic budgets vary from institution to institution and are sometimes determined by exogenous forces beyond the lab's control.

A complete commercial system to do single-cell RNA sequencing costs tens of thousands of dollars! Using alternatives such as the Harvard Apparatus syringe pumps and DropSeq [0] to run the same experiment will still cost you into the thousands of dollars. With the poseidon system, we greatly reduce these costs. Users can build the instruments to run these experiments for less than $400 and are not restricted to additional costs and tedious firmware upgrades to expand the system.

In response to your point on time management and instrument-making, I think that if there exists a need to develop these systems such that they will advance biological experiments then it's totally cool to have academics work on these sorts of projects! Biologists and bioengineers have always developed tools alongside discovery and this is no different from developing bioinformatics tools.

[0] https://www.cell.com/abstract/S0092-8674(15)00549-8

My name is Sina Booeshaghi a second year PhD student at Caltech and I built and designed the poseidon system (with the help of Eduardo Beltrame, Jase Gehring, Dylan Bannon, and Lior Pachter) in the Pachter Lab.

If you have any questions I'm happy to answer them!

I think it's important to figure out what you want to use the Wolfram Language for. As a reference, I have about a year of experience with it, using Mathematica to do theoretical Solid Mechanics calculations with their phenomenal symbolic toolbox.

Here are two notebooks a friend of mine put together covering a few basic concepts that may help you:

https://drive.google.com/drive/folders/1YGM-xswFTjfwZ5MhFqpL...

This is pretty cool, I wonder if this could be used on roofs in places where ice dams [0] are a big problem.

An alternative and cheaper system which my team and I developed in our undergrad senior capstone was to use drip irrigation mounted to roofs (and organic deicing fluid) to mitigate ice dams. This was accomplished by dripping fluid down the roof to "cut" channels into the ice dam to allow the water built up behind the dam, to drain off of the roof. I think you could possibly do something similar by placing strips of this 3-layered material vertically oriented on a roof to melt channels in the ice dam..

[0] https://en.wikipedia.org/wiki/Ice_dam_(roof)

A lot of really clever people have thought about this problem, including Prof. Rivest (the "R" in RSA) https://people.csail.mit.edu/rivest/Rivest-ElectronicVoting....

It also leaves me wondering, is there really no good way to secure voting machines?

Hey Andrew, cool product! I appreciate the work you all have put into it. I have a few things that crossed my mind:

If the TOS can be summarized into a shortened version that is understandable and readable, then was the original TOS too long and complicated to begin with?

I wonder if summarizing can really distill that which the TOS covers. I further wonder if someone reads a summarized TOS and then violates a part not covered in the summarized version, then who do they blame?

This is really awesome OP! Thank you for sharing :)

One note I should make: it was not entirely clear (to me) upon a cursory view of the website, that the purpose of mathpix was to convert handwritten text into LaTeX. For some reason (maybe my coffee hasn't kicked in yet) I thought this was strictly intended to take screenshots of equations on an existing pdf document or a website etc and that will be converted to LaTeX.

My thought at that point was "I wonder if they could do this for handwritten text" and then I looked at the docs and facepalmed..

I think there is an important distinction between sequencing a genome and then using ML methods to extract meaning from it. Sequencing (has traditionally) been hard but is now more of a tractable problem [1, 2].

To answer your question, if you have your genome and a dataset of known genomes marked with functions according to regions, then you could probably perform an interesting analysis..

[1] https://nanoporetech.com/ [2] https://www.illumina.com/

Nice! That seems like a great way to go about using it.. I'll have to give it a shot for my next project :)

This makes sense, it seems like one of its intended purposes is as a great pedagogical tool which I think would work well.

This is really exciting for the team! However I don't think that I am particularly sold on the notebook style of coding.. its possible that I simply haven't found a good use case for it, can anyone suggest an example where the notebook style outperforms a simple script based style?

For reference, I use Matlab and Mathematica pretty heavily, and python in a text editor like sublime along with a terminal running ipython shell.

While I understand the frustrations that some experts may experience when someone who writes "11 lines of code" claims they understand Neural Networks, at the end of the day why does it matter? If anything its really cool that more and more people are getting excited about this technology, and that it is becoming more accessible.

While the author of this article seems to have decent knowledge of the work in this space, his rant really came off (to me) as "Hey look at how smart I am that I can dismiss people who are trying to learn" and made the author appear really insecure.

I believe we should be promoting and fostering a more inclusive environment for those looking to learn ML/AI, in fact if it weren't for some of the (user friendly) tools and friends who taught me a lot, I might have not been so inclined to attempt to write "11 lines of code".

I really love the service that Netlify provides! I started using them a couple of months ago and they make it super easy to link a github repo that will be deployed as a site. I definitely recommend it.

This is awesome! One suggestion I should make: I think it would be nice to have the abstract underneath the title of the paper so I can skim to see what the doc is about before opening it.

Also I was wondering how you went about grabbing contents from the Bioarxiv? Are you using their RSS feed? I built a web scraper myself which will grab the pdfs and relevant info from (https://www.biorxiv.org/content/early/recent) and store it on my computer (to run some ML algorithms) and it was kinda a pain to do..

Wow this is amazing! I love these kind of open source projects.

I'll give a brief summary: they use two raspberry pi cameras (5MP) and a prism to capture images of a finger print. Then they use a new fingerprint spoof detection schema (that they developed) through the extraction of highly discriminative fingerprint spoof detection features (color local binary patterns) to determine spoofs vs not spoofs. Compared to traditional systems they have pretty high spoof detection rates.

Here is a video link if you are too lazy to read the pdf: https://youtu.be/sY4Yf4roEsI

The results on the influenza trials are incredible, I really like the idea of distributed computing in helping tackle these types of challenges.

If anyone is interested in learning more about the Rosetta project, here is a link https://boinc.bakerlab.org/

Here is the actual study conducted by LinkedIn, it's actually really interesting: https://economicgraph.linkedin.com/research/LinkedIns-2017-U...