In this tutorial, you will learn how to colorize black and white images using OpenCV, Deep Learning, and Python. Image colorization is the process of taking an input grayscale (black and white) image and then producing an output colorized image that represents the semantic colors and tones of the input (for example, an ocean on a clear sunny day must be plausibly "blue" -- it can't be colored "hot pink" by the model). The novel approach we are going to use here today instead relies on deep learning. We will utilize a Convolutional Neural Network capable of colorizing black and white images with results that can even "fool" humans! To learn how to perform black and white image coloration with OpenCV, just keep reading!

I am a major sci fi fan. Well, at least I thought I was until I went to my first Star Trek convention in my 20s and realized that I was in the minority of people who did not speak Klingon or know episode numbers, titles or dates. Most recently, I have become inspired by Black Mirror, a show originally aired by the BBC and now offered on Netflix. The brainchild of Charlie Brooker, Black Mirror is the Twilight Zone for our times, giving us a glimpse as to how technology trajectories can be used to affect society in unintended ways in the coming decades. As Frederik Pohl used to say, 'A good science fiction story should be able to predict not the automobile but the traffic jam.' Metaphorically speaking, this show sure is predicting traffic jams.

An ancient Japanese temple has hired the help of a £700,000 (Y100 million) robot to deliver the teachings of Buddhism. The android, dubbed Kannon, is based on the traditional Buddhist deity of mercy and is designed to attract young people. The robo-deity provided its first sermon at Kyoto's Kodaiji temple, which opened in 1619, on Saturday. The android is a the result of a collaboration between the zen temple and Hiroshi Ishiguro, professor of intelligent robotics at Osaka University. Only Kannon's head, neck shoulders and hands are covered in a skin-like material made from silicone.

Microsoft has made mixed reality less awkward. That was the major takeaway from my time with HoloLens 2, its new $3,500 headset aimed not at you (or me), but at businesses. It's not only because the headset is so much more comfortable, (though that can take a lot of the credit). Microsoft has also doubled the mixed reality field of view, making the holographic overlay less like a floating reticle and more like a (virtual) display that's useful. At its MWC press event, Microsoft claimed it was the only holographic device that can display 47 pixels per degree of field of view, making 8-point fonts readable.

LAST week, the OpenAI research group announced it had created an artificial intelligence capable of generating hundreds of words of convincing text on almost any topic (see Fears of OpenAI's super-trolling artificial intelligence are overblown). But the group said it wouldn't be releasing the AI, because of its potential to be used as a fake news generator. Fear over the power of fake news is widespread. Damian Collins, who heads a committee of UK MPs looking into the matter, this week proclaimed that "democracy is at risk from the malicious and relentless targeting of citizens with …

We may not have robots like C-3PO from "Star Wars" or Rosie from "The Jetsons," but there's no denying that the machines we do have are getting smarter. But are business leaders taking advantage of their capabilities? It's easy to imagine adopting AI in some indefinite future, but the technology already has the capacity to improve your ROI -- provided you actually implement it. While AI is making waves across industries, the logistics space stands to benefit more than most. According to a report from DHL and IBM, "the network-based nature of [logistics] provides a natural framework for implementing and scaling AI." It's no surprise, then, that companies are already experimenting with AI implementation, achieving small wins that help set the stage for much bigger ones. Small wins are key because they help test theories, establish best practices, and achieve buy-in from key stakeholders.

Elon Musk, recently busying himself with calling people "pedo" on Twitter and potentially violating US securities law with what was perhaps just a joke about weed – both perfectly normal activities – is now involved in a move to terrify us all. The non-profit he backs, OpenAI, has developed an AI system so good it had me quaking in my trainers when it was fed an article of mine and wrote an extension of it that was a perfect act of journalistic ventriloquism. As my colleague Alex Hern wrote yesterday: "The system [GPT2] is pushing the boundaries of what was thought possible, both in terms of the quality of the output, and the wide variety of potential uses." GPT2 is so efficient that the full research is not being released publicly yet because of the risk of misuse. And that's the thing – this AI has the potential to absolutely devastate.

Xinhua has been experimenting with AI-driven journalism in recent years, including a robot reporter whose attempt to imitate a human went slightly awry. Jia Jia, a Chinese-manufactured robot who resembles a young woman dressed in historical clothing, interviewed AI expert and Wired magazine co-founder Kevin Kelly at an event in Hefei in 2017. Xinhua, which broadcast the chat live, billed Jia Jia as a special reporter. Jia Jia, however, clearly had hard time responding naturally to many of the questions posed by Kelly, sometimes taking up to 10 seconds to answer and restricting herself to one- or two-word answers that didn't always make sense. Earlier in 2017, a 1.2-meter tall robot called "Inspire" served as an intern reporter for Xinhua during that year's Two Sessions meetings.

The MLS app has been developed in-house because the league fashioned a devoted engineering and improvement crew final yr, and senior vp of media Chris Schlosser mentioned one of many advantages of maintaining the method in-house is the flexibility to push month-to-month releases all year long to make sure that the app is repeatedly up to date. The app was constructed utilizing React Native expertise, which enabled MLS' crew to construct one app throughout iOS, Android and the net. Schlosser mentioned MLS makes use of information from the again finish of the app, in addition to buyer analysis and fan panels, when crafting updates. The Stay Your Colours spot was produced in English and Spanish, and it'll run on MLS associate networks together with ESPN, Fox Sports activities, Univision, TSN and TVA Sports activities, in addition to throughout worldwide broadcast associate platforms and on the league's personal digital channels. Stay Your Colours relies on one of many first issues followers see upon downloading the MLS app: the flexibility to decide on their favourite membership, after which the complete app expertise is personalised based mostly on that membership's colours.

When people think of Artificial Intelligence (AI), the major image that pops up in their heads is that of a robot gliding around and giving mechanical replies. There are many forms of AI but humanoid robots are one of the most popular forms. They have been depicted in several Hollywood movies and if you are a fan of science fiction, you might have come across a few humanoids. One of the earliest forms of humanoids was created in 1495 by Leonardo Da Vinci. It was an armor suit and it could perform a lot of human functions such as sitting, standing and walking.