Kryon, a leading robotic process automation (RPA) provider known for its business-centric approach and unique full-cycle automation solutions, announces its upcoming launch of AI Booster, a set of new artificial intelligence services based on Microsoft Azure's Cognitive Services, to create a unified RPA and AI experience that delivers smarter end-to-end deployment and management through a single, intuitive platform. The unique AI Booster will be included in Kryon's Automation Suite Version 19.4 expected in the Fall of 2019. Kryon's AI Booster will allow business users to deploy and manage AI technology by simply dragging and dropping these elements right into personal process workflows without having to develop complicated AI applications. By connecting seamlessly to Kryon's full-cycle Automation Suite, these advanced AI capabilities will create a superior, unified RPA and AI experience. "This exciting fusion of RPA and AI is a direct result of Kryon's ongoing strategic cooperation with Microsoft. This launch takes us to the next level of consciously feeding information and understanding an enterprise's data movements, generating more intelligent analysis and superior outcomes," said Harel Tayeb, CEO of Kryon.

'By harnessing the power of machine learning to unlock large video archives, it makes it feasible to measure behaviour over the long term, for example …

ZAO, a viral Chinese app that uses AI to face-swap users and famous actors, is now embroiled in a major privacy controversy. The news: On Friday, a new app released by Momo, a social-media developer, instantly went viral on Chinese social media. It allows users to upload a single portrait and, within seconds, see their face superimposed onto actors in iconic movie scenes. By Sunday, it had become the most downloaded free entertainment app in China's Apple Store. While GANs have been used for face-editing and face-swapping before (increasingly so in Hollywood films), ZAO's use of a single photo, coupled with the speed and seamlessness of its swap, demonstrates how far the state of the art in media fakery has advanced.

Chinese face-swap app Zao rocketed to the top of app store charts over the weekend, but user delight at the prospect of becoming instant superstars quickly turned sour as privacy implications began to sink in. Launched recently, Zao is currently topping the free download chart on China's iOS store. Its popularity has also pushed another face-swap app, Yanji, to fifth place on the list. Behind Zao is a company fully owned by Chinese hookup and live-streaming service Momo Inc. Users of the app upload a photo of themselves to drop their likeness into popular scenes from hundreds of movies or TV shows. It's a chance to be the star and swap places with the likes of Marilyn Monroe, Leonardo DiCaprio or Sheldon Cooper from The Big Bang Theory in a matter of moments.

PACAF's Integration Division Deputy Chief Ryan Raber revealed at the Genius Machines event on 3 September that the aim is to better and more rapidly predict a potential enemy's possible intentions. The planned mechanism will be used to improve PACAF's decision-making process and will focus on events taking place in the Pacific region, which means Russia and China could be the potential objects of study, the media outlet Defense One pointed out. PACAF itself didn't specify which countries' actions the planned system will try to predict. The system is expected to forecast a potential adversary's actions by detecting irregularities in its routines based on analysis of past and current actions. The process takes days when done by humans, but by computer with AI it can theoretically handle the result in "just minutes".

Artificial intelligence-powered audio curation platform Super Hi-Fi announced on Tuesday (Sept. "Music services today are challenged to create a differentiated and compelling experience for their listeners," said Super Hi-Fi co-founder and chief executive officer Zack Zalon in a statement. "The existing lack of original content, combined with noticeably jarring differences in audio levels and distracting transitions, results in a subpar experience for millions of listeners. It's critical for streaming services to sonically distinguish themselves in order to remain viable. Super Hi-Fi's platform empowers digital music providers to offer their customers a personalized, sonic experience that will drive engagement and enduring loyalty."

The gold includes insight from machine learning into genomic organization and function during development.

'You oughta be in pictures," goes the 1934 Rudy Vallée song. And, as of last week, pretty much anyone can be. The entry requirements for being a star fell dramatically thanks to the launch, in China, of a face-swapping app that can decant users into film and TV clips. Zao, which has quickly become China's most downloaded free app, fuses the face in the original clip with your features. All that is required is a single selfie and the man or woman in the street is transformed into a star of the mobile screen, if not quite the silver one. In other words, anyone who yearns to be part of Titanic or Game of Thrones, The Big Bang Theory or the latest J-Pop sensation can now bypass the audition and go straight to the limelight without all that pesky hard work, talent and dedication. A whole new generation of synthetic movie idols could be unleashed upon the world: a Humphrey Bogus, a Phony Curtis, a Fake Dunaway. Zao already has its first star: the 30-year-old artist and games developer Allan Xia, who unwittingly became the face of the app last weekend after inserting himself into a Leonardo DiCaprio montage. Western media outlets hadn't paid much attention to Zao, which can only be accessed by users with a Chinese phone account, until Xia, who is based in Auckland but has a Chinese number, uploaded his experiments. After that, every media story covering the app came embedded with a clip of him strutting around in a Hawaiian shirt in Romeo Juliet, and basking in the golden sunset on deck in Titanic. How long did it take to claw himself to the top of the A-list? All I did was take a selfie, which was then ranked by the app to give me an idea of how well it would be able to generate videos based on my photo. It's looking to match your facial features to what is already there in its library of clips."

I am currently reading the Deep Matching Prior Network paper. The suggested network is used to get better predictions on scene text. Instead of using rectangular bounding boxes, they apply quadrangle shapes to get better localisations of text. I wondered if this could be applied in Object Detection algorithms, such as faster R-CNN. Could anyone discuss in more detail why, or why not, this could be implemented and if so what the possible outcome might be?

Fox News Flash top headlines for September 4 are here. Check out what's clicking on Foxnews.com Zao, a Chinese app that uses "deepfake" technology to let users superimpose themselves onto the faces of movie and TV stars, has sparked a privacy backlash amid concerns about identity theft. Deepfakes are created using artificial intelligence and facial mapping technology to yield false, but realistic clips. Celebrities and public figures, such as Facebook CEO Mark Zuckerberg, have been "featured" in deepfake videos.