The world of autonomous vehicles just got a more luxurious, after Rolls-Royce unveiled a driverless super car of the future. It has dubbed its futuristic car, which looks like it could have come straight out of Batman's cave, the Rolls-Royce 103EX. The vehicle will be six metres long, with a canopy roof, covered wheels and a curved body. The six metre-long vehicle, dubbed the Rolls-Royce 103EX, has a canopy roof, covered wheels and a curved body. The front seat is replaced with a sofa-style body.

At the star-studded premiere of the Hollywood blockbuster "Warcraft" last Monday, Ben Schulz walked the red carpet as a relative unknown. That is, until he opened his mouth. He heard that Jamie Lee Curtis was in attendance, dressed as an orc shaman straight out of the film. While Curtis isn't in the movie, she's reportedly a big fan of "World of Warcraft," the hugely popular online game that's part of the video game series that inspired the film. To prove it, she and her son were making their way down the red carpet in green face paint, shouting the most celebrated battle cry in the game: "Leeroy Jenkins!" Schulz, his long blond hair in a ponytail and his bushy beard nicely combed, made his way over to Curtis.

"The robot was learning automatic movement algorithms on the testing ground, these functions will feature in the latest version of the Promobot." The co-founder of the robot's maker, Oleg Kivokurtsev, told ura.ru news agency. "Our engineer drove onto the testing ground and forgot to close the gates. So the robot escaped and went on his little adventure." The team only noticed their brainchild was missing 45 minutes into the robot's travel stint and by the time they located it, there was already a crowd of puzzled citizens and the police had arrived.

Appealing to your manager's human nature to get a day off work could get a whole lot more difficult in the future - because they may not be human at all. A robot office manager, named Betty, is being tested by a business in Milton Keynes for two months to help patrol the corridors and monitor its staff. The robot, developed by engineers at the University of Birmingham, uses artificial intelligence to help it keep track of where people are in the office, who is at their desk and keep tabs on clutter. Betty the robot (pictured), developed by researchers at the University of Birmingham, is working as an office manager at the Transport Systems Catapult in Milton Keynes. While there are many who fear robots are on the verge of stealing our jobs, it seems they have a weak spot - flat packed furniture.

You can almost hear the whooshing sound as the technology industry is sprinting to the marketplace with new solutions to help the enterprise garner useful and intelligent insights from their data. Analytics, Machine Learning (ML) and Artificial Intelligence (AI) delivered in a simplistic form is what companies are demanding. To meet this mandate, Hewlett Packard Enterprise Co. (HPE) has developed Haven OnDemand, which offers the latest technology in a simplified platform for developers. Jeff Veis, VP of Big Data Platform Solutions, HP Software, at HPE, spoke to John Furrier and Dave Vellante, cohosts of theCUBE, from the SiliconANGLE Media team, during HPE Discover 2016 Las Vegas to discuss Big Data and the needs of the enterprise. Furrier began the interview by asking Veis about the driving force behind the need for machine learning.

Analysts are saying that Apple's upcoming updates to its Siri voice assistant should help the company address criticisms that it can't compete on artificial intelligence. Apple is now opening Siri to apps made by other companies, and like Google and Microsoft, it's bringing the digital assistant to desktop and laptop computers. It's also making Siri smarter by using what Apple calls differential privacy. Patrick Moorhead of Moor Insights & Strategy explains it as Apple using non-personal information in aggregate to teach Siri new tricks, then having all the personalization take place on the individual device. It's in contrast to Google's approach of doing everything over the internet -- that is, in the "cloud."

To pitch its cloud storage business, Google is leaning on its artificial intelligence features. Amazon, the market leader, is too. Now Amazon has recruited a leading expert in the field to up its game. Alex Smola, a top machine learning scientist at Carnegie Mellon University (CMU) and research alum of Google and Yahoo, is moving over to run the "Cloud Machine Learning Platform" at AWS, he wrote in a post. Leaving CMU - Dear Friends, As some of you may have already heard, I'm leaving CMU to join Amazon.

FILE - In this Dec. 2, 2015 file photo, Germany's Kuka Robotics Co.'s robot LBR iiwa demonstrates a flower arrangement at the International Robot exhibition in Tokyo. Chinese appliance maker Midea has promised that German industrial robot maker Kuka will remain independent, as it seeks to allay fears about its takeover bid for the company. Midea's chairman said Thursday, June 16, 2016 that it doesn't intend to "dominate Kuka or delist the business" as it released more details about the share offer announced last month.

Many of us who want to get in shape would love to hire a personal trainer, but the cost is simply too high. Imagine your own virtual fitness coach inside your headphones cheering you on and pushing you forward when you exercise. After creating products for the Israeli air force and brands like Samsung and Under Armour, Israeli wearable tech company LifeBEAM is now making its own product – wireless, artificially intelligent headphones, or as many call them, "hearables," headphones that can learn about you as you workout. LifeBEAM's newest product Vi will tell you if you are running behind your usual pace on a familiar run and ask you politely if you want to speed it up. Or if your heart rate is getting too high, Vi will sense that and advise you to slow down.

Researchers including one of Indian-origin have provided a fresh insight into how human learning can foster smarter artificial intelligence (AI). Recent breakthroughs in creating artificial systems that outplay humans in a diverse array of challenging games have their roots in neural networks inspired by information processing in the brain. Now, researchers from Google DeepMind and Stanford University have updated a theory originally developed to explain how humans and other animals learn. First published in 1995, the theory states that learning is the product of two complementary learning systems in the brain. The first system gradually acquires knowledge and skills from exposure to experiences, and the second stores specific experiences so that these can be replayed to allow their effective integration into the first system.