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Category: robotics/AI – Page 2,181

This camera app uses AI to erase people from your photographs

Bye Bye Camera is an iOS app built for the “post-human world,” says Damjanski, a mononymous artist based in New York City who helped create the software. Why post-human? Because it uses AI to remove people from images and paint over their absence.

“One joke we always make about it is: ‘finally, you can take a selfie without yourself,’” Damjanski tells The Verge.

The app costs $2.99 from the App Store, and, fair warning here, it’s not very good — or at least, it’s not flawless. The app is slow and removes people with a great deal of mess, leaving behind a smear of pixels like an AI hit man sending a message. If you’re looking to edit out political opponents from your Instagram, you’d be better off using Photoshop. But if you want to mess around with machine learning magic, Bye Bye Camera is good fun.

PizzaGAN gets the picture on how to make a pizza

Is nothing sacred? Who would dare to even attempt to talk about a machine-learning experiment that results in the perfect (gasp) pizza? It is difficult to contemplate, but a research quintet did not shy away from trying, and they worked to teach a machine how to make a great pie.

Say hello to PizzaGAN, a compositional layer-based generative model that was aimed to mirror the step-by-step procedure of pizza-making.

Their goal was to teach the machine by building a generative model that mirrors an ordered set of instructions. How they proceeded: “Each operator is designed as a Generative Adversarial Network (GAN). Given only weak image-level supervision, the operators are trained to generate a visual layer that needs to be added to or removed from the existing image. The proposed model is able to decompose an image into an ordered sequence of layers by applying sequentially in the right order the corresponding removing modules.”

Hate speech on Twitter predicts frequency of real-life hate crimes

According to a first-of-its-kind study, cities with a higher incidence of a certain kind of racist tweets reported more actual hate crimes related to race, ethnicity, and national origin.

A New York University research team analyzed the location and linguistic features of 532 million tweets published between 2011 and 2016. They trained a machine learning model—one form of artificial intelligence—to identify and analyze two types of tweets: those that are targeted—directly espousing discriminatory views—and those that are self-narrative—describing or commenting upon discriminatory remarks or acts. The team compared the prevalence of each type of discriminatory to the number of actual hate crimes reported during that same time period in those same cities.

The research was led by Rumi Chunara, an assistant professor of computer science and engineering at the NYU Tandon School of Engineering and biostatistics at the NYU College of Global Public Health, and Stephanie Cook, an assistant professor of biostatistics and social and behavioral sciences at the NYU College of Global Public Health.

AI trained on 3500 years of games finally beats humans at Dota 2

By Timothy Revell

They say 10,000 hours makes an expert, but for video-game playing AIs much more is needed. After playing thousands of years’ worth of the video game Dota 2, artificial intelligence is now able to beat the world’s top amateurs.

Dota 2 is a multiplayer battle arena game. Two teams of five take on each other across a large map, defending their own base whilst trying to attack their opponents. It is the game that has the largest prize money of any e-sport, so there are many professional players able to play at a very high level.

You Can Now Buy A Practical Gauss Gun

Occasionally we come across a piece of information which reminds us that, while flying cars are still nowhere to be found, we’re definitely living in the future. Usually it’s about some new application of artificial intelligence, or maybe another success in the rapidly developing field of private spaceflight. But sometimes it’s when you look at a website and say to yourself: “Oh cool, they have 1.5kW electromagnetic accelerators in stock.”


Arcflash Labs, a partnership between [David Wirth] and [Jason Murray], have put their EMG-01A Gauss gun up for sale for anyone who’s brave enough and willing to put down $1,000 USD on what’s essentially a high-tech BB gun. The creators claim it obtains an efficiency of 6.5% out of its RC-style 6S LiPo battery pack, which allows it to fire over 100 rounds before needing to be recharged. Firing 4.6g steel projectiles at a rather leisurely 45 m/s, this futuristic weapon would be more of a match for tin cans than invading alien forces, but at least you’ll be blasting those cans from a position of supreme technical superiority.

The EMG-01A builds on the work of the team’s previous experiments, such as the semi-automatic railgun we covered last year. They’ve made the device much smaller and lighter than their previous guns, as well as worked on making them safer and more reliable. That said, the page for the EMG-01A has a number of warnings and caveats that you won’t see on the back of a Red Ryder BB gun box; it’s certainly not a toy, and anyone who takes ownership of one needs to be respectful of the responsibility they’re taking on.

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