Anyone who watched The Weather Channel's coverage of Hurricane Florence may have seen reports that seem to be straight from a science fiction film, but the technology used to create those crazy graphics are not so out of this world. The Weather Channel and The Future Group, a Norwegian augmented reality company, partnered with the makers of Unreal Engine - Epic Games - to use the tech in TV broadcasts. Continue reading for another video and more information.
Finally, Google Maps and Waze are coming to Apple CarPlay with the iOS 12 update. Both apps are currently in beta testing Continue reading for a video showing how to install Google Maps now on Apple CarPlay. Since they're already live on Android Auto, the developers should have no problems optimizing the navigation software for an in-car display. Google Maps uses Google's own mapping data, while Waze adds warnings about accidents or nearby police. Continue reading for a video showing how to install Google Maps now on Apple CarPlay, another picture and additional information.
Researchers at NVIDIA, Aalto University, and MIT, have developed a deep-learning AI that can fix photos by just looking at examples of corrupted photos only, or in this case grainy images. Simply put, a neural network is shown example pairs of noisy and clean images, and then the AI learns how to make up the difference. Utilizing NVIDIA Tesla P100 GPUs with the cuDNN-accelerated TensorFlow deep learning framework, the team trained their system on 50,000 images in the ImageNet validation set. Continue reading for another video and more information.
The FBI sent a confidential alert on Friday to warn that cyber criminals are planning a global 'cash-out scheme' using malware to hack ATMs, also known as ATM jackpotting. The most vulnerable targets are smaller banks without sophisticated security systems. "The FBI has obtained unspecified reporting indicating cyber criminals are planning to conduct a global Automated Teller Machine (ATM) cash-out scheme in the coming days, likely associated with an unknown card issuer breach. Historic compromises have included small-to-medium size financial institutions, likely due to less robust implementation of cyber security controls, budgets, or third-party vendor vulnerabilities," said the alert. Continue reading for another ATM jackpotting demonstration and more information.
James Fridman, better known as the "Photoshop Troll" on social media, is back yet again, with another round of requests. First up, we have one user who just wanted "bigger arms," but instead was transformed into a gorilla-like creature, rather than just have his biceps / shoulders enlarged. Others include: wanting to be a real super hero, polishing up a picture, and lost more. Continue reading to see the highlights.
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.
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.
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.
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.
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.