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kkaranth

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https://karthikkaranth.me

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I've been working on implementing this too! It's been fun trying to debug problems by figuring out how to reduce it to the "bare minimum" to repro. Ex: does it work if I disable positional encoding? Does it work if I have only one sample per ray on a single image dataset? Etc

That's mentioned in the article

Enabled by a joint design of the camera’s hardware and computational processing, the system could enable minimally invasive endoscopy with medical robots to diagnose and treat diseases, and improve imaging for other robots with size and weight constraints. Arrays of thousands of such cameras could be used for full-scene sensing, turning surfaces into cameras.

There are existing swallowable capsule endoscopy devices like the PillCam[1], the entirety of which is 11mm x 26mm[2]

[1] https://www.medtronic.com/covidien/en-us/products/capsule-en...

[2] https://www.hopkinsmedicine.org/johns_hopkins_bayview/_docs/...

Location: Salt Lake City, US

Remote: Yes

Willing to relocate: Yes, US

Technologies: C++, Python, Keras, Rust(neophyte), Graphics(Opengl/Webgl), Linux, Git, Unity, Computer Vision, Deep Learning, Django, Flask

Resume: https://karthikkaranth.me/share/resume.pdf

Email: karanth.karthik@gmail.com

Website: https://karthikkaranth.me

===========

Looking for opportunities in scientific computing, geometry processing, graphics, computer vision, and/or machine learning. I have over 3 years of experience working on problems in scientific computing, deep learning, backend engineering, physics simulations, and graphics at startups and research labs.

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playing recursively with our thinking

I think this is key. The idea that we can not only feel thirst, or think about thirst, but also think about thinking about thirst!

Location: Salt Lake City, US

Remote: Yes

Willing to relocate: Yes, US

Technologies: C++, Python, Keras, Rust(neophyte), Graphics(Opengl/Webgl), Linux, Git, Unity, Computer Vision, Deep Learning, Django, Flask

Resume: https://karthikkaranth.me/share/resume.pdf

Email: karanth.karthik@gmail.com

Website: https://karthikkaranth.me

===========

Looking for opportunities in scientific computing, geometry processing, graphics, computer vision, and/or machine learning. I over 3 years of experience working on problems in scientific computing, deep learning, backend engineering, physics simulations, and graphics at startups and research labs.

===========

Location: Salt Lake City, US

Remote: Yes

Willing to relocate: Yes, US

Technologies: C++, Python, Keras, Rust(neophyte), Graphics(Opengl/Webgl), Linux, Git, Unity, Computer Vision, Deep Learning, Django, Flask

Resume: https://karthikkaranth.me/share/resume.pdf

Email: karanth.karthik@gmail.com

Website: https://karthikkaranth.me

===========

Looking for opportunities in scientific computing, geometric processing, graphics, computer vision, and/or machine learning. I have worked on problems in scientific computing, deep learning, backend engineering, physics simulations, and graphics over the past years. ===========

Noob physics question: I assume this talks about stars close enough that we can receive their light. Can we say anything about the number of stars & galaxies that are further away than that?

Neat! I think it'd be useful to have a little blurb under the name of the medal to describe what its for. Like:

Turing Award

for contributing major technical innovations to the field of computing

(I for one didn't know what an Abel prize was)

1) Fully remote

2) ~10 minute bus ride

3) Not too well. I work at a lab as a grad student and miss school and all its facilities

4) Pros: eating out less and improved my cooking skills much Cons: too easy to stagnate in terms of learning/making progress

5) Nothing in particular, just glad that I still have the opportunity to work despite the situation

6) For me, no. Its nice to have the option to work from home every once in a while, but in general I prefer going to a physical workplace. (it helps that my commute was very quick)

Bead Sort 6 years ago

Yup, my bad. Fixed now. Random colors is the default in the matter.js renderer(and I'll admit it looks very pretty)

Bead Sort 6 years ago

I love the runtime analysis of Spaghetti sort:

Preparing the n rods of spaghetti takes linear time. Lowering the rods on the table takes constant time, O(1). This is possible because the hand, the spaghetti rods and the table work as a fully parallel computing device. There are then n rods to remove so, assuming each contact-and-removal operation takes constant time, the worst-case time complexity of the algorithm is O(n).

Bead Sort 6 years ago

I'm taking a graduate algorithms class right now, and stumbled upon the bead sort wiki page.

These methods are quite interesting! The bound of O(n log n) only applies when using the traditional greater/less than comparison model

Yikes. It sucks that you had to go through this. I find it appalling that so many bureaucratic jobs exist only to sustain their own existence: providing little value to those who pay their salary via taxes.

Do you think this process would've been (significantly?) simpler if it wasn't agricultural land involved?

I don't think "event planning" is a limitation of WhatsApp: its a chat app. Sure it could do a lot of other things(like WeChat does), but calling it a limitation is a stretch IMO.