skysight-inc/HackerNews huggingface dataset:
Thanks for sharing. Here's a set of deep learning resources I've found useful to give you a good theoretical background as well as start applying techniques to real world problems:

1. Intro deep learning, bit of theory and intuition building while applying it to a toy problem:

http://neuralnetworksanddeeplearning.com/index.html

2. A video series walkthrough on how to replicate some of the recent advances:

http://course.fast.ai/lessons/lessons.html

3. More theoretical background:

http://www.deeplearningbook.org/

4. Tensorflow tutorials with practical applications:

https://www.tensorflow.org/tutorials/

Specific applications:

Deep Learning for Vision:

https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1T...

Deep Learning for NLP:

https://www.youtube.com/playlist?list=PLIiVRB6G_w0i-uOoS6cDh...
I'm going to stick my neck out as a potential Luddite here, but outside of playing music, and some general "answering questions", I don't see a use case for things like the Echo or Dot.

Being able to ask for timers, or unit conversions while cooking, is probably the biggest bang-for-the-buck that I get out of Siri.

But outside of that, there's nothing that a Dot does for me that warrants having a microphone in my house that is 24/7 connected to Amazon.

Not having some sort of voice-print analysis is also a real concern. A friend bought an Echo a little while back, and me being me, I couldn't resist the urge to ask it to order 10 large bags of kitty litter... which it cheerfully tried to do.

Maybe I'm just odd. What do other people use these things for?
I had one of these as a kid, this brings up fond memories! :)
I worked remotely (by 1000 miles) on the Times Square billboards for a major news network and learned the hard way that when you work for the news and make a mistake, you become the news. Nobody from the company saw the error, until it was reported on a Media blog. In media, especially event-based programming by the time you figure out all the test scenarios and potential issues, the code is often already obsolete. Decisions are driven by the teams that make money.
Firefox for Android, and uBlock Origin. I used the "picker" thingy and just zapped the annoying bits.

! Mon Dec 26 07:09:28 2016 http://www.gq.com/story/man-who-cleans-up-plane-crashes
www.gq.com##.mobile-header-container

! Mon Dec 26 07:15:55 2016 http://www.gq.com/story/man-who-cleans-up-plane-crashes
www.gq.com##.mobile-header

! Mon Dec 26 07:16:45 2016 http://www.gq.com/story/man-who-cleans-up-plane-crashes
www.gq.com##.show.component-sub-header

I don't know if theirs anything equivalent for iOS.
Said evidence surfaced late in the process, and the inspector didn't have access to it during the inspection. If the house builder reached out to building engineer to have his house plans and materials approved before the inspection, there would have been no problem in the first place.
I looked into it and I couldn't sue the city, but I could sue the builder. The only problem was that all of the builders who worked on the houses I've owned went bankrupt back when the housing market crashed, so there wasn't really anything I could do.
And who wants to commute to Bakersfield?
Short Term online courses
Survey research, network sampling, and Charles Dickens’ coincidences
>What I need is natural natural language processing to become so good that it just works.

That's supernatural language processing. You're asking the system to recognize a thought you have in your mind that you can't effectively communicate with words.

The loud keyboard - makes sense. But the company name? My first thought was IBM or Cherry.

I think it can be improved, but I'm never going to expect voice recognition to fill in the blanks for something I can't describe with my voice.
Slush 100 Pitching Competition, make it to the finals as a SaaS startup
I hate to "enjoy" listening to these stories, but I always take the time to hear a speaker out when available from either war. I feel its not just critical to record but also replay these stories, to explain this historic period to our children and the overwhelming sense of scale that ideas, individuals and culture can play in our very modern world.

My grandparents played out their roles in the second world war, yet even through death, they never talked about the war years or their contribution. In part, a strong British backbone but mostly, a sense that its gone and forgotten and it does "no body any good to dig up the war" (quoting maternal grandma).
Thanks to the people who have shared their stories here. I, for one, am going to use this opportunity as a reminder to make sure I have my and my wife's affairs in order. Sufficient life insurance, living will, that sort of thing. I have two small children, and I owe it to them.

I can't imagine living through losing my wife, but if I had to, or if she has to lose me, I hope the loss and grief aren't commingled with financial troubles, legal battles, etc.
tl;dr I think the author in that post means that CyanogenOS is the problematic one. CyanogenMod /should/ be fine.

Although a migration to LineageOS is probably a better option (this is my opinion) at this point given that CM will soon become at best unmaintained.
They're not an issue if you're not building a tunnel. My point is that in Switzerland and most European countries they're not a problem even if you are. Although all infrastructure projects in western countries are subject to rent seeking and NIMBYism that drive up their costs, the degree of rent seeking depends on the state/province/country and project complexity.

Much of the relevant land in the mountainous parts of the Western US is owned by the federal government so I'm talking mostly about the actual construction costs. Unfortunately, the high speed rail is useless without tracks to and from the mountain sections so the cost of obtaining right of way still matters. From my understanding, the Swiss tunnel is an extension of an existing network, so the 36 miles of tunnel didn't depend on lots of new above ground construction and the risk that comes with it.

For example, the interstate 70 expansion through the Rocky mountains that connected the western and eastern halves of Colorado cost $800 million per mile for 12 miles, even though all of the land was already owned by state and federal governments. There was little opposition, it was badly needed, and the project went very well (winning several awards) but it still cost over 40 times more than initially predicted because it turned out that building a massive highway through the Rockies was a lot harder than anyone had thought.
> But there are no traditions

> for how a North American woman

> in the 21st century mourns her partner.

In many Asian cultures, we mourn for those who have passed for about 2 weeks. Then again 49 days later, and after that at least 3 a year (once on the anniversary of their death, another during the Tomb Sweeping Day [1], and another during the Lunar New Year.)

I feel with all these rituals, where family and friends will get together several times a year, it really does help the grieving process.

I also think this might be the biggest difference between collectivist vs individualistic societies. Where in collectivist societies, family and friends might sometimes feel overbearing because they involve themselves even in the tiniest details of your lives can be a lifesaver during times of extreme grief.

[1] https://en.wikipedia.org/wiki/Qingming_Festival
- A different hello world every 3 days
- Write better
- Think outside of the box
- Embrace exposure
- Docker
- How to make a VR app
- Understand inverse kinematics
- C
- Crystal
- API Gateway microservice
- Concurrency patterns
- Understand FPGAs, and an HDL
- Applied machine learning
This was a very moving yet difficult read. One of the things I value most in my relationship is always having someone there to listen to all the minutia of my day and to hear about theirs. There's always someone there who will be glad when you have good news and will get pissed off when you do too. In in a way it feels like living two lives. I can't imagine the shock of that kind of connection just completely ending one day. She really captured that well in the writing.

Also, it seems like she purposely cut off the ending how she did so it feels like there should be something more - just like one or two paragraphs missing.
Ask HN: What do you consider real-time?
Forget the marketing-speak, curious to see what formal definitions are used. Are these typically system response latency cutoffs that vary by industry? ie. 1 second would not be real-time for algo trading, but might be for tweet aggregation for brands
I think it's the stature of the celebrities that died, not their quantity. While many celebrities are noteworthy, most known only to a niche audience or didn't significantly affect people's lives.

In 2014, the only legend was Robin Williams.

In 2015, BB King, Leonard Nimoy and Terry Pratchett died, but all had niche audiences.

In 2016, a lot of legends died: Bowie, Prince, Fidel Castro, Muhammed Ali. Each of those was truly transformative for their audiences and society as a whole. And that's leaving out Leonard Cohen, Alan Rickman, Harper Lee and Nancy Reagan, each of whom had about the stature of 2015's most noteworthy deaths.
Age Gap Dating – Does It Even Matter?
That's a false equivalency. No one suggests IT staff deploying hardware are B duplicating effort because there's a physical correlation between results and resources.

But 10 different desktop environments are each solving the same problem 10 different ways, consuming 10 developers time, when a collaborative project would be able to reduce that by a huge factor and benefit everyone.

I would also suggest it's naive to think charity's don't have opinions about the duplication of effort. 10 storage animal shelters might very well waste funding and resources which could otherwise support 2 or 3 better equipped ones.
Interesting read, thank you for sharing. The author summarizes the thesis of the OpenAI team to be that by exposing AIs to a variety of experiences, the AIs will learn flexible problem solving skills. I'm not convinced this is true. Without imparting upon the AI some mechanism for reasoning across experiences, (e.g. reasoning through analogy), the AI will simply be trained on many specific experiences. How does the AI make the leap from being trained on these specific experiences to abstracting and drawing comparisons between them? This ability is crucial to generalizable AI.

The author mentions transfer learning but sort of glosses over it. She writes, "And according to OpenAI, we’re slowly getting there: some of their agents already show signs of transferring some learning from one driving game to another." Which signs? How much is "some?" Driving game to driving game is interesting, but what about driving a car to driving a boat? Interested to hear more about this.
Show HN: Sharing of daily routines
If people didn't 'steal' technology then we wouldn't have technology.
A simple messaging app with React Native and Socket.io
> I'm of the opinion that worked examples are often worse than no documentation.

I'm not, especially for the many more-abstract-concepts. I have yet to see a followable code case demonstrating the use of custom monads (not IO or Maybe or lists etc) that show why (when) I should ever write my own, to understand even just using them better generally.. A lot of explanations in the Haskell ecosystem are super-abstract and forever-self-referencing and as someone arriving with a sense of urgency of pumping out Brave New Apps to the world, I'm always itching and saying "OK transformables turn foldables that contain applicatives into functors that fold applicatives into transformables so in other words I CAN SKIP THIS RITE?" Leave it in the shadows as it was clearly a priority to neatly have the abstractions that allowed making MayBe/IO/Lists etc as usable language features in there.

On the other hand I don't want to end up writing 10k lines that could have been expressed in 500 had I grasped the more obtuse abstractions.

Experience tells me that once you happen across a simple real-world use, the shocking simplicity of what was encrypted in mathematical-logical-calculi lingo is instantly revealed. The absence of such "code examples" (with a real-world touch, not just x,y,z,f,g,h identifiers in a senseless vacuum) is truly annoying and goes all the way from the Wiki to Diehl's articles to various books.. it's hyperprevalent throughout the community.
Can I ask how big were these servers, and would it be ~nicer to have half x2 bigger servers ?
If we speak about human interactions, I think that it should be less than 250ms.

In 1968 Robert Miller published his classic paper Response time in man-computer conversational transactions in which he described three different orders of magnitude of computer mainframe responsiveness:

- A response time of 100ms is perceived as instantaneous.

- Response times of 1 second or less are fast enough for users to feel they are interacting freely with the information.

- Response times greater than 10 seconds completely lose the user’s attention.

But I totally agree with you, it totally depends on what is the purpose of your system.
TypeScript. Having made the systems engineer -> web developer transition, ES6 has made the ride smooth but I want to take it all the way.
I use it to turn my lights on and off. It works great for this, I don't need to leave my chair/couch/bed and I can turn many lights on quicker than any other method I'm aware of.

I use it to play music, usually through Spotify. I use Amazon music occasionally when I'm looking for a song (usually while cooking or the like) but on the whole it's inferior.

I ask for the weather in two or three cities while I'm tying my shoes, so I can decide if I need a jacket.

I use it for timers when I'm already using my oven timer. I appreciate being able to ask how much time is left while I'm not in the kitchen and thus can't see the oven.

I use it for unit conversions (how many oz in a quart? How many tablespoons in half a cup?).

The most use I get from it is when my hands are busy, my phone is either: in my pocket, or in another room plugged in charging. Or dead (this happens less frequently since I bought a new phone recently). I also find that context matters. When I use my phone's voice assistant I'm usually trying to do something on my phone. With my Echo I'm just trying to do something. I have a lot more success with the Echo.

I bought a few dots when they went on sale this fall, but I've only set up one. It works surprisingly well with the echo. They rarely get confused. Sometimes the device much farther away responds instead.

You can set up a passcode for ordering, or disable it entirely -- I've never used it and probably never will. I already carry a microphone around with me all day and work in an office surrounded by literally hundreds of microphones, or a few dozen in my house (my Dropcam is always on and has a mic. My TV remote has a mic for some reason I hope to never discover. My laptop, my iPad, and various other devices have microphones too).

Look, I didn't see a use case for it either. But once I got on, it infiltrated my home and now feels like an extension of it. I also didn't see the point of smart phones, tablets or IoT devices in general, but now I have all of them.

It's clear this sort of interaction is the future.
a rocket
'Reader view available' on iOS
Cyanogen Wanted to Kill Google's Android, but Instead Killed Itself
IF expansionists chose to spare us, they'd just have to come back later. A species with a requirement of endless growth will never have enough living space or resources. That's not the only kind of species imaginable but we have an example of this kind: mankind at the moment.

So assuming expansionism, the question is, can such a species survive long enough to be a threat to us? If their societt is unstable, they may well destroy themselves before getting very far. Stability seems out of the question here - that would imply they are able to maintain a steady-state society within limits, but still have the need or impulse to hunt for new resources and living space.

So maybe we're not likely to meet such a species as it is likely to be self-destructive. One configuration is worrying, though: An expansionist species sufficiently advanced to reliably spread across space without end, but still bound to eventually exhaust any resources they find. (Inevitable for all species given entropy?)

This species will either die out or monopolize all resources it can find. (And then die out.)If it really requires constant growth, it can do nothing else.
They are when it's done entirely for the purpose of having friendly trade relations with the USA.

That's one of the benefits of running a country like the USA. The USA market is so desirable to participate in that they can black mail countries all over the world to adopt your IP laws despite the fact that (if it wasn't for the lure of USA markets) it is entirely against their best interest to do so.
There are other opinions:

http://skytrainforsurrey.org/2012/05/28/portland-or-lrt-is-c...

They quote an operational farebox recovery rate of less than 28%, so taxpayers are subsidizing almost 3/4 of the operational cost plus all of the fixed costs and construction.

(As disappointing as that it, it's still over 8 times better than VTA in the San Jose area!)
> ...their meal offerings have to be delicious and significantly cheaper than fast food that has meat in it (which should be possible right since meat is so wasteful?)

This would be the case if externalities were priced into meat production. But meat producers don't pay for draining the water table, creating antibiotic-resistant strains or the massive waste problems that usually accompany large-scale meat production. I'm not among the militantly-anti-meat and even consume some on occasion, so I'm not going to tell people how to live their lives or what to eat, but we shouldn't be under the delusion that meat isn't more expensive just because most of the costs will be paid by future generations. If meat producers had to run sustainably, the cost of meat would be too high for most people to afford on a regular basis.
The Three Easiest Languages for English Speakers to Learn
No need for any apologies. I am looking for anything that can introduce me to the topic along with practical knowledge
Here are the things I want to learn in 2017:

1) I want to learn Java and be an expert in it by the end of 2017. Also, some of the basic concepts of computer science.
2) I am going to start a new food website where I am going to create and share new recipes. I really want to learn so many new recipes and improve my cooking skills.
3)I am going to buy a Ukulele next week and I want to learn it so badly. This is going to my first musical instrument and I am so excited.
doesn't want passenger trains running on it

I think "can prioritize freight over passenger rail when schedules conflict" is a fairer description.
Many good reasons. Here are two.

1. Cloud companies' best interests are not aligned with mine on issues of ethics, snooping.

2. Control.
Probably the most useful thing they've done is to get the permissions to access all those games from an application.
I'm curious about the total number of image recognition neutral networks that have ever been trained...
My goal for 2017 is to make career in Data Science field.

I want to learn by doing good projects in this field but I dont have any ideas. Apart from Kaggle, is there any other sites which have projects related to Data Science field.
This article misses a lot of things technology wise. OK, I understand that.

This article also misses a lot air companies like Daimler who showed off self driving car captibilities publicly in the beginning 2000 and on the web 3 years ago. It misses the prototypes shown off by Audi and BMW. It misses also the prototypes shown by Japanese car manufacturers.

From technology companies it misses Bosch who will show off at CES their own developed car and as such their expertise. It misses Delphi who works with MobilEye on self-driving platform to be used by the OEM, and it misses other TIER1 like Conti who have also shown their work.

By the way, the Mitsubishi Outlander is currently the best equipped series car who can do self-driving capabilities, it has a stereo camera system and Lidar combined with other other radar sensors. Next are the luxury cars from Audi, BMW, Daimler, and Volvo. Tesla here is last with only a simple radar and camera system (no stereo view), which has also no night vision capabilities like the others have.
> Because the neurons can be generated from induced pluripotent stem cells, which can be produced from a patient’s skin cells, “these could be useful for finding treatments for psychiatric disorders like depression, where we often see quite variable responses to drugs,” says Lu. “By identifying individual differences, this could be a step toward personalized medicine.

Do we really need that much personalized medicine? My first thought is that it's going to drive prices up A LOT.
Things like the Amazon Dot and Echo make me extremely uncomfortable. If I had to create some sort of voice assistant it'd have to store voice data locally instead of being on some server somewhere.
Yeah, people complaining or nitpicking clearly haven't played the alpha yet. It is going according to plan. I am an original KS backer from November of 2012, and have since dumped a couple thousand into development, and I'm happy with the way things are going. I, as then, trust Chris Roberts to make his magnum opus, and I know I'll enjoy playing it.
It's not a shame for a language to lose against Python. Python has by far the best focus on usability of the standard libraries of all the languages I have ever seen (which includes major ones). As they say, "practicality beats purity".

Let me compare for example Lisp lists with Python lists. Lisp lists are in a way more low-level, lacking useful things as slices. Sure you can always write a function to do a slice, but the point is many useful functions are missing from the standard libraries. I tried to learn Common Lisp and Clojure (I like the language more than Python) but I was never more productive in it than in Python for this reason.

This year, I have actually done some AoC in Haskell, and it's a similar deal as with Lisp. There are plenty libraries, but they just don't work as well together. An example: I needed a queue. So I used Data.Seq, but, there is no pop() function. No big deal, for sure, but annoying. Another example: I wanted to put list or set into a hash table, but unfortunately, these are not defined as instances of Data.Hashable.

It's actually debatable whether list should be Hashable by default. Sure it would be practical, but someone could complain about the hashing implementation. And that's why Python is going to beat Haskell on these problems, where you simply don't want to worry about thousands of those little things.

I was actually thinking about building myself a "pythonic" Haskell prelude which would have similar design to Python standard libraries and the same attention to consistency.
Starting a company involves so much marketing. SEO, SEM, etc. In the SEO domain, you need to pay a lot of attention to blogs and sites like Moz, rank tracking with services like getstat, make sure you aren't doing anything blackhat.
I'm so sorry you're having such a tough time. As a father of a 2 young children I know you're right about them - they are wonderful, joyful hard work. Praying that things go as well for you as they can.
I wanna develop the small desktop games via Godot for Linux and HTML5 in new year. I started to learn it and go on.
And i participated goodreads challenge to read 5 books in new year. The most will be related to programming and operating
system. I want to learn go programming, and read all chapters of Tanenbaum books about operating system and distributed systems.
So THAT'S why I get downvoted so much!