aub3bhat

8 ms·

1.
by aub3bhat 8y ago
Soon there will be Lemonade style app driven per hospitalization insurance on top of normal health insurance where for elective procedures you will be able to protect yourself from surprises like balance billing etc.
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by aub3bhat 8y ago
Translation for those not proficient in Academese: Serverless computing a novel paradigm enabled by a large cloud provider, does not matches our past research, thus we argue why it's not the right thing. This is classic "if theory
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by aub3bhat 8y ago
Scientists/Academics treat prestige as primary currency, and most would view lack of access to information just as a sign of not being in prestigious enough institution. You are being naive if you think academia is filled with do-goode
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by aub3bhat 8y ago
I think you are overegenralizing applicability of Neural Architecture Search etc. and cherry picking individual examples. There is an enormous gap between what gets published in academia with what’s actually useful. E.g. Compute wars have o
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by aub3bhat 8y ago
Without any human assessment or blind testing, claiming one method outperforms another using an ex post facto unsupervised metric is not scientific.
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by aub3bhat 8y ago
You can setup AVA style video processing pipeline using my project https://www.deepvideoanalytics.com/ It comes built in with face detection/recognition, object detection, OCR, Open Images tagger etc.
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by aub3bhat 8y ago
To quote Ben Recht "When you end up with a bunch of papers showing that genetic algorithms are competitive with your methods, this does not mean that we’ve made an advance in genetic algorithms. It is far more likely that this means th
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by aub3bhat 8y ago
I am working on a project to build an ML and CV enabled database for images and videos. It supports visual search/NN as core primitive and developed for scalability using Kubernetes. https://www.deepvideoanalytics.com
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by aub3bhat 8y ago
Hwang lets you perform "efficient random access" across the video by building a GOP/Segment aware index. This comes in handy in a lot of applications where you want to access particular frame or set of frames but do not wish
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by aub3bhat 8y ago
Scanner is a great tool I have been following it's development very closely over the last year. Great to see it reach 1.0 . I highly recommend checking out Hwang [1] (a sparse video decoder) which is bundled and used in Scanner. Scanne
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by aub3bhat 9y ago
I am building Deep Video Analytics which aims to become Solr/Postgres of visual data. Currently it uses LOPQ but I am working on integrating FAISS. https://www.deepvideoanalytics.com
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by aub3bhat 9y ago
I think tf.data is amazing, its far far better than the previous queue and string_input_producer style approach. More than documentation, I would argue that TF especially tf.data lacks a tracing tool that would let a user quickly debug how
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by aub3bhat 9y ago
Deep Video Analytics: https://www.deepvideoanalytics.com Github : https://github.com/akshayubhat/deepvideoanalytics A large scale visual data analytics platform, think SQL/MapReduce/Full-text se
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by aub3bhat 9y ago
This is ridiculous, NNP has not even reached the market and he is already betting the farm on it. The reason Titan V does not yet significantly outperform previous generations is because those Tensor Cores have not been properly utilized.
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by aub3bhat 9y ago
Please show me C++ equivalent of sorted([(k.weight, k.name) for k in somelist], reverse=True)
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by aub3bhat 9y ago
This isn't about dubious tactic at all, if the government thinks its dubious it could simply direct NSF/NIH to disallow amount from being used to pay tuition and lower overhead allowed. You don't even need any legislation for
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by aub3bhat 9y ago
We live in an age of libraries like cudnn which are vendor provided/optimized, for 99.9% of ML applications you won't need to write custom CUDA code. Further as I mentioned earlier with Intermediate Representation languages like T
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by aub3bhat 9y ago
Julia is a good language for computational simulation experiments but in a world that's heading towards heterogeneous compute enabled by GPUs, TPUs and intermediate representation languages/frameworks like ONNX, TVM [1] and Tensor
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by aub3bhat 9y ago
Err no you didn't get it. Actually it does use non long tail distribution see the whole 95% figure etc. Those are assumptions about the distributions.
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by aub3bhat 9y ago
The ML community did take the Theory approach trying to prove bounds, SLT/SRM, PAC, etc. and that was an excercise in futility. While I don't deny that there is value to looking under the hood but for a long while the community ab
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by aub3bhat 9y ago
Humanity used fire for a long time before combustion was understood. Even today Anesthesia is not well understood at biological/physiological level that has not stopped its safe use and innovation through Clinical Trials. Maybe competi
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by aub3bhat 9y ago
Ah the total trip time is at most an hour. People have been stuck longer inside NYC subway. Also on most trans-atlantic flight emegency medical diversion can easily take more than an hour.
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by aub3bhat 9y ago
Thanks!
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by aub3bhat 9y ago
However you may split clusters by role/access. You will have I/O bound ETL/Interactive tasks as primary use case. Thus the investment in security will be constant whether you reuse the same infrastructure for compute/mem
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by aub3bhat 9y ago
today I’d still recommend the trusted laptop build approach for truly sensitive algorithms and computations. You are utterly wrong. Algorithms and computations (especially ML kind) are never sensitive, its the data which is always
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by aub3bhat 9y ago
delete Hadoop so I've got more disk space to run Pandas. Except when you have ~2000 node cluster that runs 10,000 ETL tasks daily all of which are IO bound, And you cannot "just" uninstall. However during certain pe
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by aub3bhat 9y ago
No, "all organizations" are not adopting Spark. All organizations which already have a Hadoop cluster. You do not need Spark to use dataframes. Never claimed this. To clarify Spark allows you to directly port P
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by aub3bhat 9y ago
scaling for the fun of scaling. I think your arguments are misguided, for every compute bound task where Hadoop/Spark undeperform, 1000 other ETL type tasks where hadoop is indispensable. As a result any organization running
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by aub3bhat 9y ago
also rules out e.g. the fairly common practice of using R or pandas for some ad-hoc processing. This is essentially the reason why all organizations are adopting Spark, since it allows you to write imperative code on dataframes an
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by aub3bhat 9y ago
I agree but sadly we don't have any plug-in solutions that operate in similar manner. How do you allocate capacity? What if your node has hard upper limit? How do you ensure security e.g. secomp, jails etc. The moment data crosses the

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