In Grimes' defense, she was referring to Artificial General Intelligence (AGI), an AI that's as powerful as human intelligence in every way and is …

We've talked about artificial intelligence and music creation a bit on the blog before. We're all seeing the leaps in capabilities that AI technology can do on the internet and making music is possibly one of the more underwhelming parts of that. Well perhaps not anymore, as this digital company have just created a pitch perfect sounding Travis Scott song – vocals, production, even music video – using nothing but algorithms. Space150 is a US-based tech company who have been dabbling in testing what they can do with artificial intelligence. By processing a slew of his lyrics and getting computers to analyse his sound and his vocal style they managed to create a completely legitimate Travis Scott track that he might not even know exists.

Sign in to report inappropriate content. An excerpt from the 1968 film "2001: A Space Odyssey" directed by Stanley Kubrick. Synopsis: Mankind finds a mysterious, obviously artificial, artifact buried on the moon and, with the intelligent computer HAL, sets off on a quest, where the way the HAL 9000 super computer malfunctions.

SAN FRANCISCO–(BUSINESS WIRE)–Databricks, the leader in unified data analytics, today announced keynote speakers alongside expanded technical content and training at Spark AI Summit which is taking place June 22 – 25 in San Francisco. To support continuous innovation and expansion of the conference content, Spark AI Summit welcomes Ben Lorica as the Program Chair. Spark AI Summit is the largest data and machine learning conference bringing together engineers, scientists, developers, analysts and leaders from around the world. "Over four days we'll gather the greatest minds in our industry to shape the future of big data, analytics and AI and share knowledge through training, over 180 talks and networking events. Spark AI Summit has become the destination for data teams to collaborate on solutions to solve the world's toughest problems," said Ali Ghodsi, cofounder and CEO at Databricks.

I recently made a set of explorable animations that takes an in-depth look at the humble perceptron. Aside from the typically shown linearly separable case, you can also explore convergence with an adjustable margin, as well as the Maxover algorithm and Voted Perceptron variants, which offer good performance, even when the data isn't linearly separable. There was very little information online about the Maxover algorithm, save for the one paragraph on the Wikipedia page. And the paper itself was pretty annoying to read through. I'm pretty glad that I was able to get the messy pseudocode from the paper into something visual you can run in your browser.

The squids in this simulation consist of a body an a number of connected tentacles controlled by a neural network. The agents get a higher score by eating, and at the end of a generation the best squids are copied and mutated to form a new generation. This clip shows squids after a few hundred generations of evolution. Organs like eyes and touch sensors will be added soon. I'll post updates on my twitter as the project progresses.

The world never changes quite the way you expect. But at The Verge, we've had a front-row seat while technology has permeated every aspect of our lives over the past decade. Some of the resulting moments -- and gadgets -- arguably defined the decade and the world we live in now. But others we ate up with popcorn in hand, marveling at just how incredibly hard they flopped. This is the decade we learned that crowdfunded gadgets can be utter disasters, even if they don't outright steal your hard-earned cash. It's the decade of wearables, tablets, drones and burning batteries, and of ridiculous valuations for companies that were really good at hiding how little they actually had to offer. Here are 84 things that died hard, often hilariously, to bring us where we are today. Everyone was confused by Google's Nexus Q when it debuted in 2012, including The Verge -- which is probably why the bowling ball of a media streamer crashed and burned before it even came to market.

Digital images are a momentous part of today's digital communication. It is very easy to manipulate digital images for hiding some useful information by image rendering tools such as Adobe Photoshop, Microsoft Paint etc. The common image forgery which is easy to carry out is copy-move in which some part of an image is copied and pasted on another part of the same image to hide the important information. In this paper we propose an algorithm to spot the copy-move forgery based on exact match block based technique. The algorithm works by matching the regions in image that are equivalent by matching the small blocks of size b b. The program is tested for 45 images of mixed image file formats by considering block sizes 2, 4, 6, 8, 10, 12, 14, and 16.