346 karma · joined June 16, 2018
> 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/...
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.
===========
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!
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.
===========
One complaint I have is the low-res cover images. I'm on a 4K screen and the cover images look really blurry. I can't make out the subtitles of books.
Also, the double-click to close is a unintuitive. I'd much prefer to use the back button
Can you elaborate?
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. ===========
That isn't a CPU-related issue right? The CPU would be completely powered down when hibernating
There were a lot of fun Flash(Shockwave, as it was called back then) games!
Turing Award
for contributing major technical innovations to the field of computing
(I for one didn't know what an Abel prize was)
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)
What domain is the second email address talking about?
> 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).
These methods are quite interesting! The bound of O(n log n) only applies when using the traditional greater/less than comparison model
Do you think this process would've been (significantly?) simpler if it wasn't agricultural land involved?