aub3bhat

8 ms·

31.
by aub3bhat 9y ago
1Mb vs 1Gb vs 1Tb distinction is a function of information contained in data. If its PII even 1Mb is an orginizational headache from security/risk-management perspective. Also most commodity compute nodes have allocation around 16 Gb.
32.
by aub3bhat 9y ago
The author should spend some time delivering solutions to "real problems". It's easy to be snarky while writing a blogpost with toy datasets but it's difficult to actually deliver production solution in an organization.
33.
by aub3bhat 9y ago
Perceptual hashing is useful for copy detection. Its not robust to changes/transformations nor do the hashes encode any semantic information.
34.
by aub3bhat 9y ago
I am developing a Visual Search engine with pluggable indexing models. https://www.deepvideoanalytics.com
35.
by aub3bhat 9y ago
PyTorch itself isnt, But the multi-GPU version requires Gloo which is BSD+PATENTS https://github.com/facebookincubator/gloo/blob/master/PATENT...
36.
by aub3bhat 9y ago
https://github.com/facebookresearch/faiss/blob/master/PATENT...
37.
by aub3bhat 9y ago
On Android you can Sideload VPN apps, iOS on the otherhand banned them in China. Apple mounted the most successful attack on General Computing with it's walled garden. The whole Apple is good for privacy is marketing.
38.
by aub3bhat 9y ago
Umm that's a beautiful theoretical result no doubt. But in practice the choice of the "space" that determines the neighborhood, matters more than anything else on the top of that space. Also as another commenter pointed out t
39.
by aub3bhat 9y ago
Unless you are traveling in subway/Uber/Car-pool/commuter-rail and catching a quick nap. What does this have to do with AI. In fact having an alarm that randomly gets disbabled is Stupid design.
40.
by aub3bhat 9y ago
Artificial intelligence == ML/CV/NLP (not the AGI) will transform the world over the next two decades. People vastly underestimate importance of recent advances in detection/recognition/NLU tasks. Sure it sounds boring b
41.
by aub3bhat 9y ago
or revolutionizing the field
42.
by aub3bhat 9y ago
"printing" to a "removable screen" might actually be more eco-friendly than printing a "per-frame polaroid flip-book" which what I assumed initially.
43.
by aub3bhat 9y ago
Hedge funds, prop trading etc. do hire from math heavy background. But I agree. My advice is only good for CS or similar (ECE, Data Science) PhD's.
44.
by aub3bhat 9y ago
GIF are a great example of a medium that succeeded specifically DUE to it's shortcoming/constraints. In fact most "gifs" on highly visited sites are mp4 videos (which can have audio and longer length). But they pretend t
45.
by aub3bhat 9y ago
This is stupid advice with sole purpose of keeping students engaged in publishing incremental research. So that no one questions vanity metrics like H-index and the ridiculous condition of academic research. As a PhD student the real secret
46.
by aub3bhat 9y ago
>As well as looking at income, we rated skills on satisfaction, risk of automation, and breadth of applicability. Translation: We cooked up data by adding our biases, but since we teamed up with a "data science fellow", thus ou
47.
by aub3bhat 9y ago
A CEO, CTO, CFO, CXO etc. are all "employees", technically an employee is someone who works for the company (unpaid work also counts) the company. E.g. You can have 100% equity, be sole shareholder, pay money to a manager/emp
48.
by aub3bhat 9y ago
"cofounder" is a legally meaningless SV term. There are three ways you can be associated with a company 1. Shareholder (anyone in the world, except few countries with sanctions) 2. On board of directors (varies from case to case)
49.
by aub3bhat 9y ago
I think the real concern is that there is nothing in PATENTS that restricts itself to software patents, if tomorrow say a University patents a new AR/VR Chip and Facebook/Oculus infringes on that patent there the PATENTS would aff
50.
by aub3bhat 9y ago
Floating point operations (TFlop) != Tensor Operations (TOp)
51.
by aub3bhat 9y ago
Caffe 1 is developed by Berkeley and I think Apache or BSD licensed. The Patents.txt issue occurs with Caffe 2 which is developed by Facebook.
52.
by aub3bhat 9y ago
Certain algorithms/models are implemented in PyTorch or Caffe and typically it's huge amount of work to convert them to TensorFlow while ensuring correctness / Parity. Also I personally like design of PyTorch.
53.
by aub3bhat 9y ago
I use NVidia-Docker extensively in my Open Source project Deep Video Analytics [1] when combined with TensorFlow (which allows explicit GPU memory allocation) its unbeatable in running multiple inference models on a single GPU in a reliable
54.
by aub3bhat 9y ago
The author is clearly mistaken. There are several things that are possible in the physical world yet illegal, e.g. forging signatures, breaking doors open, breaking into parked car, sending spam emails etc. Specifying reindentification as i
55.
by aub3bhat 9y ago
You might be interested in Deep Video Analytics, its a Visual Data Analytics platform that I am building. [1] [1] https://github.com/AKSHAYUBHAT/DeepVideoAnalytics
56.
by aub3bhat 9y ago
The person interviewed isn't senior. The one interviewing is. I think her solution for array larger than memory is very inefficient. Even in smaller case one might achieve speed up by excluding unnecessary read/temp/move in e
57.
by aub3bhat 9y ago
For the interviewer 1 question of sorting an array with only two unique elements. Am I missing something? The solution just requires counting lower value and writing it number of times it occurs and then writing the other value until the en
58.
by aub3bhat 9y ago
>> You're also short-changing those liberal arts majors. After all, many of them go on to law school, with the result that Congress is about 2/3 liberal arts majors. Congress the beacon of efficiency, progress and wisdom.
59.
by aub3bhat 9y ago
I don't think so, I tested and neither detector nor recognizer were fooled. Here are the results with FaceNet, Inception, MTCNN face detector and MobileNet SSD detector. Facenet also retrieved similar looking faces from LFW. [1] https
60.
by aub3bhat 9y ago
Microprocessors, Internet, Green Revolution, T-Cell therapy, China & India over the last 2 decades ..... You know the stuff that actually required knowledge and power. Not some feel goodery truthiness.

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