adorable

And so how do you sell iOS apps or in-app content then?

GSuite, Mailchimp, Sendgrid, Github, Sightengine, Travis, Twilio

Does anybody know what the existing open-source / free alternatives are? (that you could run on your own servers)?

Some of those optimizations become irrelevant (or downright bad) with http2. Inlining CSS ans JS is no longer best practice when you can do a server push of those and avoid sending the extra bytes once the files have been cached by the browser.

Some optimizations can backfire. Adding async to the external JS is a great tip.. unless you have dependencies between your different scripts (i.e. you need one to be loaded before the other one gets executed)

I would also recommend a curated newsletter with AI / ML news and resources:

http://aiweekly.co

What would those article-writing robots use as their primary source of information?

If they write local news, will they use social media as their datasource? Other sources?

Important note: so-called "live" air quality measurements are in reality never "live" due to the nature of the measuring stations (taking measures takes time) and the way data is compiled and shared by the monitoring agencies. As a result typical delays range from 1 to 6 hours, which means you end up using "old" data or signaling a peak when in reality the pollution peak is already over.

This is solved by using models that predict air quality levels down to the hour. One option is to use https://plume.io

You are free to buy as much soda as you want.

iPhone 6 user here. Same issue for me, battery seems to drain much faster now and levels can suddenly drop from 10-20 to 0.

ÉDIT: as I was typing the comment, the level actually dropped from 22 to 1!! About to go dark :)

Any EBS storage price reductions? Those are pretty high at this stage.

Fun project. Wondering how the contributors classified their training set... by watching all the videos? :)

In any case I know there aren't many good labeled datasets out there. I worked on Sightengine (API to detect nudity and moderate images or videos: https://sightengine.com )

I am David, one of Plume Labs' founders. Thank you for all your feedback!

At Plume Labs we build tools to help people fend off pollution. This starts with an urban weather report (the Plume Air Report) that tells you when pollution will be high for a few hours or more in your city, and what you can do about it – timing your run, biking, activities with children – to take back control of your environment.

The map discussed here is a near realtime visualization of air pollution levels worldwide. The colors and the Plume Index are based on WHO recommendations. (Blue corresponds to levels below the W.H.O. yearly recommendations, light blue is below the W.H.O. daily recommendations etc.) The map takes into account the main pollutants (NO2, O3, PM10, PM2.5) and is based on measurements made in 11,000 monitoring stations worldwide along with air quality models for the areas that are not covered by monitoring stations.

More details as well as pollution predictions are available on the mobile version of the Plume Air Report

iOS => https://itunes.apple.com/en/app/plume-air-report-pollution/i...

Android => https://play.google.com/store/apps/details?id=com.plumelabs....

We try to make the air we breathe more transparent, and we hope you find it useful!

Plume Labs - Paris, France - Frontend/Backend developers, Data scientists - On-site

Plume Labs helps people stay ahead of air pollution through innovative software and hardware solutions. We help people stay informed of air quality and protect themselves and their closed ones.

We are a multi-disciplinary team - from design to data science and hardware, and we are based in the heart of Paris. We are growing rapidly and are looking for talented developers (Python, php, javascript) and for data scientists who are familiar with Machine Learning and Modeling.

Positions are full-time and local. Email me at david at plumelabs dot com

For a weekly collection of ML related news and resources, you may want to look at https://aiweekly.curated.co

I guess you are referring to http://cs.nyu.edu/~zaremba/docs/understanding.pdf

For those interested, the papers and discussion are part of this weekly collection of AI-related news and resources: https://aiweekly.curated.co

Some of the names that come to mind: - Yann Lecun - Andrew Ng - Ray Kurzweil - Geoffrey Hinton - Olshausen - Jürgen Schmidhuber - Demis Hassabis

Paris, France | Back-end developer (Visa)

We are Plume Labs (plumelabs.com) and we are on a mission to make the air we breathe cleaner. We are a multi-disciplinary team - from design to data science and hardware, and we are based in the heart of Paris. Our products and service are not released yet - the comings months will be key to defining and implementing it all! We are looking for bright and motivated developers and hardware engineers willing to work in a thrilling environment in the city of light!

Reach out for more details! david at plumelabs dot com

Nice examples, but to be fair these images are still very different from what you would experience in real life:

- The resolution is very low and makes it even harder to see the soldiers

- Depth perception is lacking (again, making it hard to find the soldiers)

- These are still images. In real-life, you could spot anomalies with movement. (e.g. if grass is moving in the wind, you could spot some weird shape that is surprisingly still vs moving grass)

- oh and of course if you have infrared goggles...

So today is an international prime day because 291113 112913 20131129 are all primes

Today could also have been a "perfect prime day" if MM, DD, YY and YYYY had been prime (in addition to the above). But it's not the case...

11 -> is prime

29 -> is prime

13 -> is prime

2013 -> not prime (3 x 11 x 61)

Too bad! We will have to wait another 16 years before we have a perfect prime day...

I have developed an algorithm to detect such images, based on several articles published by research teams all over the world (it's incredible to see how many teams have tried to solve this problem!).

I found out that no single technique works great. If you want an efficient algorithm, you probably have to blend different ideas and compute a "nudity score" for each image. That's at least what I do.

I'd be happy to discuss how it works. Here are a few techniques used:

- color recognition (as discussed in other comments)

- haar-wavelets to detect specific shapes (that's what Facebook and others use to detect faces for example)

- texture recognition (skin and wood may have the same colors but not the same texture)

- shape/contour recognition (machine learning of course)

- matching with a growing database of NSFW images

The algorithm is open for test here: http://sightengine.com It works OK right now but once version 2 is out it should really be great.

> Besides, it seems to me like these "problems" are only really thought of as problems by the type of people who put "search engine" in the title of their blog.

or by all the people who have a site with traffic coming from Google

As far as I've seen, the links you'll find through the search engine are a limited set of links from "important" pages (i.e. not the spammy ones). To find your spammy backlinks you'd have to use webmaster tools.

How can Google detect if a spammy link has been created by the site's owner or by a competitor?

I don't see any way to detect that - apart from asking webmasters to report spammy backlinks. But that really isn't sustainable.

TL;DR: Here's what happened. When a password reset is submitted, the user receives a random URL by email containing a random 21 letter string. The algorithm used was bad, so the random string could be brut-forced.

The OVH team researched 3 years of password changelogs and found 3 customers who had been brute-forced that way, all in the "bitcoin community"

Awesome product as usual!

How is this supposed to be monetized?

I'm not on a plane and i'm not waiting in a TSA line so I can say it: BOMB

I wouldn't say the captain is an "aggressor". He made a bad decision, probably due to incomplete or wrong information he was given. So this is not entirely his fault, he shouldn't take 100% of the blame, and he deserves to have his name hidden.

I guess he refers to the search bar at the top and the left navigation menu that remain fixed when scrolling (i.e. acting like frames even though it's just css / js)

No it's not. Carriers are required to help their clients whenever they want to unlock their phone.

Great. How about internationalization? Do you allow to replace the english error messages with messages in other languages?