11 Ways Artificial Intelligence Adds Color To Our Lives...Literally - Knowmail


Artificial Intelligence development doesn't have to be overly technical or complex, and this post is to show a cool way it is adding color to our lives…literally. Below are eleven handpicked examples (more available) of various black & white videos which were colorized automatically thanks to an AI algorithm created by Richard Zhang and co, now available as a web app used to colorize B&W photos. Of course, these videos aren't individual photographs and required a trained network to colorize an entire scene. These were selected as to show a variety of capabilities, and how it is not an exact science, rather work in progress with great progress. The Lukas Graham video was created by Ron Zohar, who done the same to a Charlie Chaplin scene (video removed).

US Is Forcing a Chinese Firm to Sell Gay Dating App Grindr


The US government says a Chinese gaming company's ownership of the gay dating app Grindr poses a national security risk, according to a report from Reuters. Beijing Kunlun Tech acquired a 60 percent stake in Grindr in 2016 and bought the rest in 2018. But, Reuters reports, the Chinese firm didn't clear the acquisition with the agency known as the Committee on Foreign Investment in the United States, or CFIUS, which evaluates the national security impacts of foreign investments in US companies. Kunlun is now seeking to sell Grindr following the CFIUS assessment, according to Reuters. Grindr declined to comment; CFIUS and Kunlun did not respond to requests for comment.



Mindsync Airdrop is worth up to 180 MAI tokens ( $ 25.2). Share your referral link to earn 50 MAI tokens ( $ 7) for every referral. WEBSITE REDDIT FACEBOOK TWITTER TELEGRAM INSTAGRAM LINKEDIN BOUNTY Mindsync is a platform to solve customer's tasks with AI technologies competitions as well as a marketplace for these solutions and training datasets. Their mission is to bring together the best artificial intelligence experts and hackers, data scientists, machine learning developers, big data and computing power suppliers, investors, volunteers in one place to make better AI solutions more available, cheaper, simpler for a wide range of customers, accelerate its development and create a worlds marketplace for AI solutions. You will receive a mail from Mindsync after you completed step 1. Click on te link, login to your Mindsync account, click on ''REFERRALS'' in the dashboard and share your referral link to earn 50 MAI tokens for every referral.

7 Insider Tips to Get More Traffic From Search Engines


Let's face it – generating traffic from search engines is hard work. It is much easier to buy traffic. But we all know that organic traffic converts better so this is usually the primary goal for online marketers. So, naturally, everybody's question is: how to improve SEO ranking for your website? I've put together 7 helpful tips to do exactly that, let's take a look at them one by one.

But what *is* a Neural Network? Deep learning, chapter 1


Subscribe to stay notified about new videos: Additional funding provided by Amplify Partners. Typo correction: At 14:45, the last index on the bias vector is n, when it's supposed to in fact be a k. Thanks for the sharp eyes that caught that! For those who want to learn more, I highly recommend the book by Michael Nielsen introducing neural networks and deep learning:

OkCupid review: A fun, hip dating site that's way less lame than the competition


Let's just cut the mushy bullshit and get straight to the point: Online dating can truly suck. Don't get me wrong -- the help is seriously great when you start to feel like you're #ForeverAlone, but the entire process of creating a dating profile and dealing with less than ideal matches can be cumbersome. You're forced to answer fake "deep" questions that everyone lies about anyway, deal with creepy dudes and girls who think it's cute to terrorize your inbox, and navigate sites that just do not have what you're looking for. Here's the thing though: OkCupid is about to be your new best friend. SEE ALSO: Which dating app is right for you? Use this guide to figure it out. Everyone knows the name, but what tons of people (especially young people) may not realize is that it's not just another eharmony or Match. OkCupid is the perfect happy medium that you might have thought didn't exist.

Alexa's advice to 'kill your foster parents' fuels concern over Amazon Echo

The Guardian

An Amazon customer got a grim message last year from Alexa, the virtual assistant in the company's smart speaker device: "Kill your foster parents." The user who heard the message from his Echo device wrote a harsh review on Amazon's website, Reuters reported - calling Alexa's utterance "a whole new level of creepy". An investigation found the bot had quoted from the social media site Reddit, known for harsh and sometimes abusive messages, people familiar with the investigation told Reuters. The odd command is one of many hiccups that have happened as Amazon tries to train its machine to act something like a human, engaging in casual conversations in response to its owner's questions or comments. The research is helping Alexa mimic human banter and talk about almost anything she finds on the internet.

Learning Dynamic Embeddings from Temporal Interactions Machine Learning

Modeling a sequence of interactions between users and items (e.g., products, posts, or courses) is crucial in domains such as e-commerce, social networking, and education to predict future interactions. Representation learning presents an attractive solution to model the dynamic evolution of user and item properties, where each user/item can be embedded in a euclidean space and its evolution can be modeled by dynamic changes in embedding. However, existing embedding methods either generate static embeddings, treat users and items independently, or are not scalable. Here we present JODIE, a coupled recurrent model to jointly learn the dynamic embeddings of users and items from a sequence of user-item interactions. JODIE has three components. First, the update component updates the user and item embedding from each interaction using their previous embeddings with the two mutually-recursive Recurrent Neural Networks. Second, a novel projection component is trained to forecast the embedding of users at any future time. Finally, the prediction component directly predicts the embedding of the item in a future interaction. For models that learn from a sequence of interactions, traditional training data batching cannot be done due to complex user-user dependencies. Therefore, we present a novel batching algorithm called t-Batch that generates time-consistent batches of training data that can run in parallel, giving massive speed-up. We conduct six experiments on two prediction tasks---future interaction prediction and state change prediction---using four real-world datasets. We show that JODIE outperforms six state-of-the-art algorithms in these tasks by up to 22.4%. Moreover, we show that JODIE is highly scalable and up to 9.2x faster than comparable models. As an additional experiment, we illustrate that JODIE can predict student drop-out from courses five interactions in advance.

Face ID not working for Apple iPhone XS Max users

Daily Mail

An apparent problem with new software means that some iPhone X users are not able to activate Face ID on their handsets. The mysterious bug means that for to unlock their devices they have to enter their pass code manually. Frustrated Apple users are taking to Twitter and Reddit to complain about the problem which causes a'not available' message to show up on the screen. The issue has been linked to the latest iOS 12.1 version upgrade, according to reports from customers on social media. Frustrated Apple users are taking to Twitter and Reddit to complain about the mysterious bug that causes a'not available' message to show up on the screen, pictured Then press and hold the Power button until you see the Apple logo on-screen.

DIY Tinkerers Harness the Power of Artificial Intelligence


In late winter of 1975, a scrap of paper started appearing on bulletin boards around the San Francisco Peninsula. "Are you building your own computer?" it asked. If so, you might like to come to a gathering." The invite drew 32 people to a Menlo Park, California, garage for the first meeting of the Homebrew Computer Club, a community of hobbyists intrigued by the potential of a newly affordable component called the microprocessor. One was a young engineer named Steve Wozniak, who later brought a friend named Steve Jobs into the club.