Pegasystems launches X-ray Vision, a tool that allows Robotic Process Automation (RPA) bots to repair themselves without human intervention. X-ray Vision aims to address the problem of bot failures. This service detects when a bot is malfunctioning and then repairs it immediately. Defective bots occur when the user interfaces and processes change. X-ray Vision's AI model is constantly modified using machine learning to improve the detection of these defective bots.

A Cleveland Clinic-backed XR medical visualization startup, MediView XR, Inc., has launched with $4.5 million in funding. The company uses the HoloLens and their custom software to help doctors visualize patient anatomy, and anchor it precisely on their body, giving the doctor, in essence, x-ray specs. The fundamental holographic visualization technology was initially developed at the Lerner Research Institute at the Cleveland Clinic to help surgeons better visualize and plan for the face transplant. Karl West led the team, using a HoloLens to create 3D holographic representations of the donor's skull and other anatomy to assess and refine their surgical plans. Jeffrey Yanof, PhD, created the software.

For healthcare professionals, this requires the clearest x-ray images possible to facilitate fast and accurate diagnosis of patients. Drawing on longstanding experience in the development of radiology and imaging solutions, technologies delivered by Thales provide hospitals with exceptional image quality, rapid image acquisition and processing, coupled with connectivity capabilities that enable instant clinical data transmission. New-generation solutions go further by capitalizing on synergies in artificial intelligence, cybersecurity, big data and data management, and the Internet of Things. "Our ongoing research that looks to embed artificial intelligence and deep learning into our solutions allows for a better diagnosis so that the patient is treated quickly and correctly," says Inès Mouga, Strategy & Innovation Director. "We provide healthcare professionals with unparalleled visual support through the sharpest-ever radiological image detection and interpretation solutions. With increasing amounts of data flowing given the digitalization of the health sector, we are also providing customers with the innovative cybersecurity solutions they need to protect their radiology systems."

Range Rover has unveiled its latest'green' compact luxury 4X4 with'X-Ray vision' that enable drivers to'see' through the bonnet to view what lies on beneath on the road below and'eyes in the back of its head' to show what's coming up behind. The new second-generation British-built Evoque off-roader is built with electrification and hybrid power in mind, and has a non-leather cloth option designed for vegetarians and vegans and made from recycled plastic bottles. Significantly, it features unique'ground view' technology that makes its bonnet'invisible' to the driver so he or she has a view of any rough or extreme terrain - or high city centre kerbs - that are lurking underneath or just ahead, but normally out of sight. The firm said its ClearSight Ground View technology marks'a world first' for the compact luxury 4X4 which is powered by a range of mild-hybrid petrol and diesel engines, with a plug in hybrid to follow next year and the potential for a fully electric version. Range Rover has unveiled its latest'green' compact luxury 4X4 with'X-Ray vision' that enable drivers to'see' through the bonnet to view what lies on beneath on the road below Significantly, it features unique'ground view' technology that makes its bonnet'invisible' to the driver so he or she has a view of any rough or extreme terrain - or high city centre kerbs - that are lurking underneath or just ahead, but normally out of sight The new all-seeing Evoque was unveiled at a star-studded international launch at the Old Truman Brewery in East London's trendy Brick Lane where fashion and Vogue cover model Adwoa Aboah was to appear wearing a dress made out of the very same Kvadrat material made from recycled plastic bottles.

Each week, we spotlight a cool innovation recommended by some of the industry's top tech writers. This week's pick is an AI with X-ray vision. "Omnipresent wireless signals that keep us connected can now be used like X-rays to see and track the movements of people, even when hidden behind walls," said Andrew Liszewski at Gizmodo. Radio waves, while invisible to the eye, bounce off human bodies when wireless signals come out of broadcast antennas, and the way the signals are altered can be measured. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory trained a neural network to generate stick-figure skeletons of people walking, sitting, and talking.

In the scope of enviable superpowers, X-ray vision has always seemed like the most practical and plausible of the bunch. Now plausibility has turned into reality, thanks to new technology coming out of MIT. A team from MIT's Computer Science and Artificial Intelligence Lab has developed technology that's able to see human movement through walls. Instead of using electromagnetic radiation to produce imagery, the researchers have found a way to use low-power radio waves to track the movement and figure of humans through a wall. The simple explanation is this: A device sends weak radio waves through a wall where they're able to bounce off humans, whose bodies are natural reflectors thanks to their predominantly watery makeup.

Who wouldn't enjoy a little X-ray vision, really? You could cheat at cards, for one. And that game where someone puts something under one of three cups and you have to guess where it is. Of course, X-ray vision would come with a downside, in that you'd be spraying all your surveillance targets with radiation. So researchers at the MIT Computer Science and Artificial Intelligence Laboratory, actualizers of all things science fiction, have taken a different tack to seeing through walls: radio waves.

Robots make fantastic remote-sensing systems, ideal for sending in to disaster areas or for search-and-rescue. Drones in particular can move rapidly over large areas or through structures, identifying damage or looking for survivors by sending a video feed from their on-board cameras to a remote operator. While the data that drones provide can be invaluable, managing them can be quite difficult, especially once they get beyond line-of-sight. Researchers from Graz University of Technology, in Styria, Austria, led by Okan Erat, want to change the way we interface with drones, using augmented reality to turn them from complicated flying robots into remote cameras that an untrained user can easily control. Through a HoloLens--Microsoft's mixed reality head-mounted display--a drone can enable a sort of X-ray vision, allowing you to see straight through walls and making controlling the drone as easy as grabbing a virtual drone and putting it exactly where you want it to be.

It may not be ready for gift-giving this year, but come 2017 this could be the hottest item on wish lists around the world: a $300 device that enables "X-ray vision." The technology has been under development for more than two years, and now a group of researchers from MIT's Computer Science and Artificial Intelligence Lab (CSAIL) is spinning off a company to market it. Dubbed RF Capture, the technology senses wireless reflections off the human body and can thereby "see" the silhouette of a human standing behind a wall. From across a building, it can determine where you are, who you are, and even which hand you're moving. Through a spin-off called Emerald, the plan is reportedly for it to hit the market in early 2017 at a price between $250 and $300.

While its late chairman Thomas Watson might have famously downplayed demand for computers back in the 1940s (to be fair, the machines he was referring to were clunky beasts that took up an entire room), that hasn't stopped the tech giant from making predictions about future trends. Since 2005, IBM has been releasing an annual list of five technological advancements that it thinks will take off in the next five years. In the past, they've focused on urbanization as well as machine learning and big data (with mixed results – perhaps five years is too optimistic a time frame for many of these technologies to take root). Unsurprisingly, given the emergence of AI and the Internet of Things, this year's predictions are focused on these two areas.