tech e blog

NVIDIA Deep Learning Photos

NVIDIA researchers, led by Ting-Chun Wang, have developed a new deep learning-based, artificial intelligence system that can generate photo-realistic images using only high-level labels, and at the same time creating a virtual environment that allows the user to modify a scene interactively. The method, which uses a conditional generative adversarial network (GAN), has the potential to revolutionize how visual algorithms, including those for medical imaging, are trained. "Conditional GANs have enabled a variety of applications, but the results are often limited to low-resolution and still far from realistic. In this work, we generate 2048x1024 visually appealing results with a novel adversarial loss, as well as new multi-scale generator and discriminator architectures," said the researchers in their paper. Click here for the first image in today's viral picture gallery. Continue reading for the five most popular viral videos today, including one where "As Seen on TV" pest control gadgets are tested.

Continue Reading

Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo


AI Grainy Photos Clear NVIDIA

NVIDIA researchers has developed a new artificial intelligence-powered system that automatically removes noise, grain, and watermarks from photos. "Recent deep learning work in the field has focused on training a neural network to restore images by showing example pairs of noisy and clean images. The AI then learns how to make up the difference. This method differs because it only requires two input images with the noise or grain. Without ever being shown what a noise-free image looks like, this AI can remove artifacts, noise, grain, and automatically enhance your photos," said NVIDIA. Click here for the first image in today's viral picture gallery. Continue reading for the five most popular viral videos today, including one of a functional iPhone X lighter case.

Continue Reading

Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo


NVIDIA Super Slow Mo

Put simply, NVIDIA researchers have developed a deep learning-based system that is capable of producing high-quality, 240-frames-per-second slow-motion videos using a normal 30-frame-per-second video. This new system outperforms various state-of-the-art methods that claim to do the same. "While it is possible to take 240-frame-per-second videos with a cell phone, recording everything at high frame rates is impractical, as it requires large memories and is power-intensive for mobile devices. For these reasons and others, it is of great interest to generate high-quality slow-motion video from existing videos," said the researchers. Click here for the first image in today's viral picture gallery. Continue reading for the five most popular viral videos today, including one of the ten weirdest lighters ever made.

Continue Reading

Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo Photo


Norman AI

Massachusetts Institute of Technology researchers have managed to train an artificial intelligence algorithm, called "Norman", to become a psychopath by exposing it to gruesome or violent images posted on Reddit. Named after the Anthony Perkins character in Alfred Hitchcock's 1960 classic "Psycho", this AI was trained to perform image captioning, a popular deep learning method of generating a textual description of an image, but the twist was only exposing it to gruesome and violent images from a subreddit dedicated to documenting and observing the disturbing reality of death. Rorsach inkblots were then used to compare Norman to other AI which hadn't been exposed to the same gruesome images. Continue reading for another video and more information.

Continue Reading


TeenSafe App

TeenSafe, a monitoring app that lets parents keep an eye on their children's text messages, social media, and phone location, has leaked sensitive data related to thousands of its users that include both parents as well as children. The data, stored on two servers backed by Amazon Web Services, compresses the email addresses of parents that are associated with the teen monitoring app, alongside the Apple IDs of children and their passwords in plaintext. It's reported that at least 10,200 records from the past three months were put at risk. Continue reading for a video showing how to protect your Apple account and what kind of information was leaked from TeenSafe.

Continue Reading


Android P

Google showcased Android P at their 2018 I/O Conference this week, and it's packed with major new features, including some AI-powered ones. Just a few of the highlights are time limits on apps, being able to switch your phone's display to grayscale at night, and quickly hiding all notifications when you don't want to see them. User interface wise, there's a revamped control scheme that updates Android's back, home, and multitasking buttons. Continue reading for two more videos and information.

Continue Reading


Facebook Dating

Forget Tinder and other dating apps, Facebook is set to launch a dating feature, and according to CEO Mark Zuckerberg at the company's annual F8 developer conference Tuesday: "This is going to be for building real, long-term relationships - not just hook-ups." This opt-in feature matches users with people they aren't already friends with, and will be able to build a dating profile that even their friends won't be able to see. Continue reading for another screenshot of the interface and more information.

Continue Reading


FastPhotoStyle AI

Photo credit: Peta Pixel

NVIDIA and a team of scientists from University of California, Merced have developed an AI algorithm called FastPhotoStyle that is capable of transferring one photo's style, to another, automatically. Unlike similar algorithms, NVIDIA's results can be generated 60 times faster than traditional methods, since it splits the task in two separate steps: a stylization step where the style of a reference photo is transferred to the content photo, and then a smoothing step, which make things photorealistic using 'spacially consistent stylizations.' Continue reading for another video and more information.

Continue Reading


MS Paint Artwork

Photo credit: Concha Garcia Zaera via Bored Panda

Most digital artists use Adobe software (Illustrator, Photoshop, etc.) to create masterpieces, but 87-year-old Concha Garcia Zaera uses MS Paint, as she discovered the program after her children gifted her a computer. Each one of these paintings takes approximately 2-weeks to complete. "My husband fell ill and I had to take care of him, so I couldn't go out very often. I began painting little things: first, a house, the next day I'd add a mountain...Step by step, I was adding details, and in the end, the result was a very pretty thing. I have no imagination at all, so I get inspiration from the postcards that my husband used to send me or drawings that I find and like," said Zaera. Continue reading for more pictures and information.

Continue Reading


Fortnite iOS

Epic Games Fortnite is an overwhelming success for game consoles, PCs, and now, the iOS as well as Android mobile platforms. It's currently available on iOS in beta, but the game will eventually come to Android platforms as well. To play Fortnite: Battle Royale on iOS, you'll need an iPhone 6S/SE or better, a newer iPad (Mini 4, Pro, or Air 2+), and iOS 11 installed. As you can see in the video above, mobile players aren't limited to just their own special multiplayer servers, but rather full cross-play and cross-save with PlayStation 4, PC, Mac, and Android. Continue reading for more iOS gameplay videos and information.

Continue Reading