kankroc

Not having a model in stock one month after announcing it is not a huge deal though. Time to delivery of a Chevrolet Bolt in Canada was over 6 months after launch :/

This is only true for refugees, economic migrants usually have a wide range of good jobs to choose from.

And unemployment is at its lowest point in year in Canada.

Since this is about computing at the edge, I was wondering if anyone had an opinion on the intel neural compute stick 2?

I got one recently and I am not convinced, but I suppose someone on HN might have legitimate use cases.

This article almost feel like an ad. Especially the last line...

What did the author do with it?

Source? GloFo stopped pursuing 7nm but that is far from shutting down.

As a lean and tall bouldering amateur, anything where my feet gets close to my hands will be extremely hard to keep. Sample size of 1.

If your end game is working professionally just check what is more in demand in your geographic location.

Personal opinion

C# is a lot better than Java. You have less boilerplate code (getter and setter in 2018, really?) and lambdas are great.

But really both are similar so you can pretty much just start with one and still find your way in the other.

I think the author makes a point but also misses (or voluntarily glosses over) important counter points.

1) Machine learning (which includes deep learning) still hasn't been applied to a lot of field that would draw benefits even from a basic CNN.

2) While AI/Smart branded crap is indeed all the rage right now (and part of the bubble imo), most of those are not learning algorithms and rely on cheap marketing tricks (looking at you Oracle).

Bottomline: lot of hype comes with empty promises and ultimately the people's dissatisfaction, but there is a real demand and need for applied machine learning in many fields.

Same here with Star Wars/ASOIAF content.

I get it. You figured I like those two things, but it's incredible that it won't pick up that I am (hopefully) not that dull.

A fair point, but I, for one, will give him a chance.

Behold Canada, I pay about twice as much for 120/20 Internet only.

Can you elaborate on why using a requirements.txt file is "manual hell"?

I rely on it for pretty much everything and I didn't run into game breaking problems.

Presenting "not using Electron" as a significant way to reduce our impact on the environment has to be the most HN thing I ever read.

I don't want to jump the gun and call it creepy just yet, but what is it for exactly?

As a foreigner I have an alipay account and didn't need a Chinese back account.

Bureaucracy is a very real problem in many fields, but when we are talking about launching potentially untrackable satellite in space, having some form of oversight is probably good.

Can someone provide me a usecase for this when compared to executing jupyter straight into VSCode/Atom with vscodeJupyter/Hydrogen?

The name is academic torrents, I can assure you that this is P2P.

To anyone reading this who wants to try DBSCAN, give its more recent brother HDBSCAN a go. The H stands for hierarchical and it's way better when dealing with clusters that aren't very similar (think big vs small).

There's an excellent pip package that seamlessly integrates woth scikit-learn too!

People have wildly different views on what Github stars are. Some see it as a way to bookmark project you find interesting while other simply stars whenever they feel like the project is impressive.

Bottomline is: it's not a good metric, it's simply a way to see how "popular" something is and how likely it is that some random developer saw your project.

While anecdotal, I've starred Vue because I see it as a cool project and I've starred React as another cool project. In both case, I did toy projects with the frameworks and never used it in production. On the other hand, apache/httpd I did a lot of projects with and I did not give it a star yet.

In my opinion stars are not endorsement, they're a questionable way to measure how likely it is that your coworker have heard of a given project.

This is a gross overestimate of how far behind AMD is in single core performance. We're talking a few lost frames per second in games not some crazy sun vs oracle stuff.

Intellectual property done right puts bread on the table of many researchers and engineers and is arguably a protection agains't direct Chinese theft.

That being said, Google is really turning into a monster at this point with all their patents on random algorithms.

I thought it would create a random image based on my commit patterns...

Cool nonetheless but I'm a bit disappointed.

If anyone want to setup Gitea easily (but not in a docker container) I made a gist a couple days ago that install it and creates a service for easy management on ubuntu 16+

https://gist.github.com/cbdec05bca7907d70b156662dbd7c811

I've heard that Gitea (the fork) is more actively developed right now so it might be worth investigating that claim before jumping to gogs.

That's the point. No one acquires GitHub so no one can eventually corrupt it with partisan "my stuff is better than your stuff" idiocy.

GitHub works because it effectively belongs to "no one" as far as the big players are concerned. Sure they might themselves go bad one day but there is no point in hasting this for some two cents Azure/AWS/GCP mode.

The subway forces me to be uncomfortable for 15-25 minutes. I'd much rather be sitting alone in my car if it wasn't so expensive.

They simply understood that people won't give up their comfort.

Keep in mind that there isn't much money to be made selling subway cars.

Archlinux ships this as default now (and has for about a year) and I think Ubuntu is doing the same. Thus people are increasingly being exposed to iproute2.

While I agree with the sentiment, I also have to point out that some journalists covering tech seem to have little knowledge of the topic.

I'd see this as a useful tool for smaller local newspapers.

At this point it's just another day, another ML course...