skysight-inc/HackerNews huggingface dataset:
Location: Moscow, Russia

Remote: No

Willing to relocate: Yes (USA, Canada, Australia, New Zealand)

Technologies: Java, Selenium Webdriver, Selenide, TestNg, Cucumber, Ruby, Maven, Jenkins, SQL, XPath, CSS, XML, IIS, Fidler, Git, Postman

Résumé/CV: https://goo.gl/Jkh649

Email: koffmbox [at] gmail [dot] com

I'm looking for QA Automation engineer position. I have 5 years experience of testing Web and mobile applications combining both automated and manual activities. Now I’m fully responsible for maintenance automated tests for web-based application in my company. Feel free to contact me. Thank you for your time and consideration.
http://www.dataversity.net/brief-history-deep-learning/

Neural Networks weren't really thought of very highly until CNNs started winning image recognition competitions in the early 2010's.

I think most people had the feeling that they were interesting tools to learn how the brain worked, but too slow and opaque to be practical statistical tools. I've been following Hinton for a while (because of Hinton and Shallice 1991), and my understanding is that it was really hard for him to get funding especially when he was just starting out.

The fact that so much of the work from the mid-80's to 2000 came from just a few labs should tell you how hard it was to get funding for that kind of research.
This is amazing! Turn on your microphone and try playing with the sliders!
Bad version number checks
You might be interested in the architecture of Antoni Gaudí, who wasn't very keen on rectangles. In particular, your description of the pile hut makes me think of the crypt of the church of the Colonia Güell, which is a weird, sinuous space supported by irregular columns. it's difficult to take good photos of, but here are two of my best:

https://imgur.com/a/FRwo9

You can probably search up a few videos of the interior, which might give you a better impression.
I think “see what you like most” is the take home. You’re probably going to spend most of your life working. So make sure it’s working on something you like.
This is a list of devices that the EFF suggests would/could exist if not for bad copyright laws. It is not a comprehensive catalog of ideas for devices that should exist.
That's... unsettling.
one would hope that if you had skilled upper management sitting on 1B they would be able to invest that in both good engineers, and good builders of teams. and if those people weren't able to be effective to be able to track that and take appropriate action (again, with that giant financial lever).

the screwy part is that effective upper manager needs to have a deep and intuitive notion about software development organizations in order to be able to evaluate statements coming out of software effectively. but thats alot to ask, so they hire a vp eng with a nice sounding resume. that person turns out to not be very effective, and they translate their lack of discernment into a tier of equally useless middle managers. and if by accident a effective engineer gets hired they are completely unable to change things for the better because all the useless padding drowns out their voice.

everyone big company says that they have the resources of a big company but the tactical flexibility and empowerment of a small one. imagine what would you could accomplish were that to be true.
> to translate from Greek to French, Google goes via English.

I found the English as an intermediary language amusing when translating a word between two Slavic languages, Polish and Russian. Wanted to look up something about Russian hand planes (the wood working tool). Typed "strug" and "hebel" into Google translate, and got... "самолет", which, being able to parse some Cyrillic, reads suspiciously like Polish "samolot" (airplane). Same the other way around: "рубанки" (hand planes) -> "samoloty" (airplanes). It kept the plural form, but of the wrong word :) The "hand" part of "hand plane" is getting lost in translation, both ways.

Edit: similar between Polish and German, "hebel" -> "Flugzeug", all the more amusing considering hebel is a loanword from German Hobel :)

When I need to translate a single word I go to its Wikipedia page in language A, then look for language B in the "in other languages" list. (That's how I finally came to "рубанки").
This is one of the things I like in Python
Are companies reliable and trustworthy enough for employees to assume that staying long-term is an option for them?
IRC can also be hosted locally --- so using it to communicate with your coworkers in the same building does not involve sending data out far away into the Internet first, nor does it fail if the Internet connection goes down for whatever reason.
JavaScript Clinical Natural Language Processing Engine
> You get better at abstraction by practicing it and by seeing other people's abstractions.

That can absolutely be true. Though, seeing other's abstractions is not always helpful, if what they created was poorly done or ill-thought through.
The first feature in the deck is FILTER, which I can't help but mention I added support for (with a case/when fallback) to Django 2.0. So, if you're using the new Django release you can use this syntax on any aggregate/annotate via the filter kwarg[1] now.

There was one user report on the github PR that said FILTER was 10-15% faster over the equivalent CASE/WHEN, due to the null filtering I think. It's a shame only Postgres supports this supposedly standard syntax.

Edit: Heh, I initially got (stole) the idea of using FILTER + CASE from modern-sql.com[2], which is run by the author of this slide deck. So I guess I aught to thank Markus for this!

1. https://docs.djangoproject.com/en/2.0/ref/models/conditional...

2. http://modern-sql.com/feature/filter
The submitted title, "Slack can't afford to support browsers other than Chrome", broke the HN guidelines by editorializing. The text says nothing about not being able to afford. It may sound the same if you don't look closely, but please do look closely, because even tiny distortions in titles can have large effects on HN discussion.

If you need to paraphrase a title to make it fit, or change it because the original was misleading or linkbait (as https://news.ycombinator.com/newsguidelines.html asks), do it by finding the most representative language in the text itself.
https://www.pcengines.ch/apu2.htm

Though, as the other commenter mentioned, there are dozens.
I still see this issue happening on mobile.
That is something to be proud of. I've always considered Python one of the most mature and powerful languages out there. If Ruby has reached that level, I'm honestly very happy.
You can use other tools for those features, why do you need a single one? The other ones do it better than Slack, too. Focusing on a single idea and polishing it to a mirror shine is better than a single monolithic product which does everything poorly.
The behaviour you described is a bug. The "throw everything at the wall" advertising technique - also known as the contextual multi-armed bandit problem - should adapt to changes in the context, such as when an expensive TV set has been bought. It's part of the reinforcement learning subfield, which is the spearhead of AI.

https://en.wikipedia.org/wiki/Multi-armed_bandit#Contextual_...
> The article deals with this head on:

I think you missed the point. The article makes no mention of how existing implementations handle this case. It seems the author had only theorized based on his knowledge of the TCP protocol.
Bill Browder comes to mind.
> SEV allows encryption of a VM’s memory, further mitigating read attacks

This is incorrect. Spectre works at a cache level, memory is decrypted by that point - if it were encrypted you couldn't use it for the good kind of speculation either. This means SEV doesn't do anything in particular here, effectively the victim is decrypting its RAM for you.

The point of SEV is to make memory inaccessible after shutdown, whether that's physical (cold boot attacks) or virtual (VM instances reusing host memory). Not for Spectre.
as long as you can find a spot instance...

In other words never. Now that this is out of the bag it's over.
Virtualization instructions aren't finished yet: https://riscv.org/specifications/privileged-isa/
It's also super cheap to do as far as medical studies go.
Frankly they are probably losing money at a $1k price point, with the millions they have probably spent in 28nm production runs. They're making a long play here.

It's a bit bizarre that people are expecting RaspPi prices this.
Are you more interested in seed funding itself, or in specialised support organising remote teams and introductions to investors that believe in them? There are certainly "accelerators" offering funding and a relatively basic structure which themselves remote, and are thus obviously a little more comfortable with giving seed funding to distributed teams than those which want to bring the founders all together in one room.

[I worked remotely for an internationally-distributed startup funded by ODINE, the predecessor to "Data Pitch" (datapitch.eu) which gives data driven European startups equity-free (EU) funding and a basic program structure whilst assuming they'll continue working wherever they happen to be based. But the other side of not pushing everyone into the same room is there's somewhat less in the way of assistance and introductions than the traditional accelerator model boasts; not that we were particularly focused on taking advantage of what was offered at the time]
Than it would mean that it shouldn't have been free in the first place.

I really can't wait the time you have to pay for most content. It will reduce informational clutter and improve quality of the content.
From what I understand, the RTL of these cores and a good chunk of the stuff around them is open [1]. The cores themselves are basically all specialized Rocket cores. What you're paying for is probably the ready-to-fab routed cores in whatever CAD format and support.

[1] https://github.com/sifive/freedom
Some friends and I wanted to experiment with whether you could do natural language processing in the client. We built a clinical NLP engine that takes text and identifies disease mentions with their associated ICD-10-CM codes. It is fast (efficient hash + no need to send off to a server) and safe since no health information is ever sent over the internet. We were happy with the result. Let us know what you think!

We believe the tool could be useful for clinical research (rapid cohort identification), medical auditing, and more.
I hope you're joking. I've worked with these kinds of academics and while they tend to have excellent capability for abstract thought, they also tend to not give a shit about practical matters like usability or even just shipping code.
Love and use IRCCloud everyday. Well worth the $5 or whatever to have a truly great IRC client in browser (and it's by far the best on Android). People still ask me why I pay for IRC because it just sounds crazy given the glut of high-quality free software IRC clients but my answer is always just that it's the best and since I spend a lot of my time in IRC I prefer to just pay for the best software/experience.
This is only if you hold them as individual items outside the context of the system. These utilities are an engineered solution as a whole. Look how they work together and interact with one another.

If you break an engineered system down into its components and never consider all the ideas and fabric that link them together in an engineered system, you could reduce anything to bricoleur.
People used lisp to do AI on Ataris, I think it'll do just fine.
28nm custom CPUs. They've spent millions on setting up the production run. They are probably losing money on this board alone, to be honest, at that price point and expected sales.
But only quite. As a physicist I had to deal with FORTRAN and moving to C was such a relief (just this sentence shows the amount of pain).

The next generation with their pandas is spoiled.
The ICE has about 10 years of dominance left. Maybe less. EVs aren’t coming, they are here. And they’re just getting better and cheaper.
> I wonder what the police reaction will be to the same tracking on police cars. Using their lights to get though red lights and traffic jams when there is no emergency etc will be nicely logged.

Body camera already demonstrate that (some) police will actively disable recording devices.

https://www.thedailybeast.com/baltimore-cops-turned-off-body...
Google translate has lots of disadvantages but it is at least fast. Professional written translators manage a few tens of words a minute; professional simultaneous translators manage to keep up most of the time but are occasionally defeated by languages with very different sentence structures, and require frequent breaks.
Isn't this data the same one can get from Yahoo Finance?
Americans?
Aren't big consumer-oriented businesses (mostly American) in the best position to extort consent from end users?
Tovala Hiring Business Development Lead and Product Manager in Chicago
In case this is not showing, I'm the kind of guy who cherish Chuck Moore and Forth.
It was a good talk at fosdempgday. Well paced, funny at times, esp the part comparing booleans with mysql "booleans" and "check constraints" (spoiler neither boolean nor checked)

Too bad I'm stuck on 9.1 for the time being which lack many of these really nice features.
Because the standalone client uses Electron and eats up battery life, CPU, and memory like cheap sushi.
> No message search feature.
Most IRC clients have message search built in.
> The fact that so much of the work from the mid-80's to 2000 came from just a few labs should tell you how hard it was to get funding for that kind of research.

If you look through papers from that era I don't think you'll find that's true at all. You could fairly say that only a few of the prominent labs from the first neural-net boom lasted long enough to still be prominent labs now in the second neural-net boom (though even then there are several: Hinton, Bengio, Schmidhuber, LeCun, etc.). Since they're still around doing interviews and putting out new papers, understandably their work has a higher profile now than that of people who aren't in the field anymore. But there have been a ton of others over the years too, just many of them from the first wave have moved on or retired by now.

Especially in the '90s the field was hot and reasonably large (and it was pretty easy to get funding, too). If you look at e.g. the NIPS 1992 proceedings, it's definitely not just a handful of labs: https://papers.nips.cc/book/advances-in-neural-information-p...
Ubiquitous 5g could allow for constant data egress.
But before that there will be people trying to get cash out of the atm. And those who have cash already have a slight advantage, when there is no more cash at the atm because the bank went bankrupt.

But apart from that, it is more a psychological thing, I guess. Cash you can hold in your hands, feels more safe than just some plastic card.
So it is more about feeling, than real security I think.

But there is also the privacy issue. Paying with cash is anonymous. This is still a big thing and maybe the more important factor why cash is more important in germany ...
One great way is to focus on personal problems (instead of "ideas"). Solve it in a very hacky way for yourself and then share it with people, see if it helps others. If it doesn't, no big deal, you've solved an annoying problem for yourself without investing too much time. If others like it, then you can see if you want to take it to the next level. Most first-time founders started that way.

Interesting essay on this subject: http://www.paulgraham.com/startupideas.html
> Google goes via English.

No, it doesn't. It goes via an intermediate representation which is common for all the languages they translate. The meaning of a phrase is represented as a "meaning vector", or more recently, a matrix. The problem is that it is hard to translate rare words, because when the neural net decodes the next word, it needs to consider the whole dictionary at once (the problem of too large softmax function slowing down the process). So they need to focus on a subset of words. There are various solutions, such as hierarchical softmax, but they are still difficult to train. Google translate uses a ton of compute to create a model as is. They probably can't offer everyone a version that is 2% better but uses 100x more resources.
Having learned Rust and used it for nearly 2 years, I am now happy using C. I think most issues in C are easily catchable. Here me out:

1. If using Int for indexing or any sort of len or count, make sure it's positive when needed, and within bounds of what's allocated. As in if you plan on allocating huge data, plan it out and use the right data type.

2. If you alloc, then free when done. If you free, set to Null; and before you free, check for Null.

3. If you realloc, in particular, check that it actually worked and prepare for basic error handling.

Rust requires all of these steps by default.

Finally, just test some of your code. Rust makes this easy, and encourages it.

I still really like C.
Daily stock market moves don’t effect these companies. We could just as easily way up next week and be right back where we were. This is just variance in the market and the event will likely be forgotten in a couple of weeks.
Can anybody tell me what were to get the valve between the tank and the hose?
>I know Alexa is always listening and recommends products that it hears people discussing nearby.

Just curious but is this even a known fact?
New foam lowers cost of hydrogen
It all depends on what you're doing. If you make do with pure software, you should stay there. But if you want to execute a lot of instructions, for example to use CRASHME or descendant to look for bugs in the cpu implementation or Linux or whatever, being able to execute several orders of magnitude more instructions by paying more for an ASIC can be very worthwhile.

And before you think this is a silly example, I found a bug in a new microprocessor once using CRASHME. I was attempting to evaluate the quality of the supplier's testing.
Its former product name was Froogle.
The article is misleading if not false. Neural nets were hot in academic AI research 30 years ago (1988). The original Perceptron had fallen out of favor in part because of arguments that it could not implement a exclusive or (XOR) in Minsky and Papert's book Perceptrons

https://en.wikipedia.org/wiki/Perceptrons_(book)

Neural nets fell out of favor in the 1970's but came back and became hot in the early 1980's with work by John Hopfield and others that addressed the objections.

https://en.wikipedia.org/wiki/John_Hopfield

Practical and commercial successes were limited in the 1980's and 1990's which led to a reasonable decline in interest in the method. There were some commercial successes such as HNC Software which used neural nets for credit scoring and was acquired by Fair Isaac Corporation (FICO).

https://en.wikipedia.org/wiki/Robert_Hecht-Nielsen

I turned down a job offer from HNC in late 1992 and neural nets were still clearly hot at that time.

Some people continued to use neural nets with some limited success in the late 1990's and 2000s. I saw some successes using neural nets to locate faces in images, for example. Mostly they failed.

AI research is very faddish with periods of extreme optimism about a technique followed by disillusionment. One may wonder how much of the current Machine Learning/Deep Learning hype will prove exaggerated.

Also, traditional Hidden Markov Model (HMM) speech recognition is not rule based at all. It uses a maximum likelihood based extremely complex statistical model of speech.
Seems to me that consciousness is a matter of degree, with devices like thermostats at one pole, and self-reflective neocortex-style consciousness at the other.

Not that I have a strong desire to defend the consciousness of thermostats. I just wouldn't consider the article pseudo-scientific rubbish, and I definitely wouldn't just write off this type of inquiry or discussion as some kind of harmful fake news.
The Google that released something new every week (and had beta tags everywhere) did at least seem to be able to innovate. And some of that innovation stuck (and even some of the things they probably rated as “misses” had lasting impact — witness the various Reader clones...)

I’m struggling to think of Google changes in the last few years that have made the slightest difference to me as an end user. Except maybe tweaks to search that make it less useful for any vaguely obscure query.
Redshift is based on PostgreSQL 8.0 (https://docs.aws.amazon.com/redshift/latest/dg/c_redshift-an...). BigQuery is a little out of scope, IMO.
You specifically mention the second edition of the book. Is there a particular reason you would not recommend the "revisited" third edition? I'm not sure if you're actively recommending against it, or if you're just recommending the edition you happened to read.
> Third party consumables for 3D printers

FYI, this is already the norm in 3d printing. The companies that make filament are (almost?) all entirely separate from companies that make printers.
There was a nice explanation in an article from Ars Technica a few days ago: https://arstechnica.com/cars/2018/01/mazdas-skyactiv-x-shows...
Show HN: Super Bowl crypto betting using smart contracts
They charge for the peripheral IP and system design. The actual computation core architectures are freely available on GitHub under open source license.
But only if it suits the current (or stronger) power. Otherwise "territorial integrity" matters more unfortunately.
I think they are interestingly intertwined questions. If something happens that's egregiously morally out of bounds, then people will find or create ways to enforce against it. From the other angle, existing enforcement mechanisms will impose themselves as trying to define what moral is. In a way, besides the little selfish gains, I may be fatalistically trying to define "code is law" as moral because it is what I am presently capable of enforcing. Maybe I'm just talking myself in a circle; it's good fuel to ruminate on.
Some of the information looks off. The chart shows CHECK constraints appearing in PostgreSQL in 8.3, but they've been there since at least 7.1.
This is major success, showing possibilities for launching small satellites inexpensively.

Congratulations to JAXA!
Are there any better (modern) alternatives?
Why are you stuck on 9.1? 9.2 was released in september 2012. Upstream support (bug+security fixes) for 9.1 was dropped in november 2016.
China would jump on this in a second but the US government would shoot this down.
Chrome canary (66) blocks symantec issued SSL certificates
So you think nobody will pay for ads because they don't get the tracking bonus? I don't believe it.
Presumably the OP meant something else or he is contradicting himself.
I have met many of them.