There is a lot of buzz in the media right now about new electric vehicle (EV) company Faraday Future (FF). The startup seemingly came out of nowhere and is currently making a huge impact on the EV world. Even with significant press and social media attention, FF is still secretive about its upcoming EV projects. Auto-blog giant, Jalopnik, published an article about just how "mysterious" the EV startup is. The company's intrigue stems not only from its uniquely designed concept car, the FFZERO1, but also from its leaders' forward thinking mentality regarding technological advancement – especially artificial intelligence (AI) – something that the automotive industry has barely tapped into.

Batman's suit is fitted with cutting-edge features that helps the caped crusader fight crime. And now a group of California-based researchers have developed an'exosuit' that gives soldiers and the aging population'superhuman' strength. Called Superflex, this wearable uses motion sensors, accelerometers and gyroscopes to read the speed and angles of the owner's legs and adjust its movements accordingly. Agroup of California-based researchers have developed an'exosuit' that gives soldiers and the aging population'superhuman' strength. Called Superflex, this wearable uses motion sensors, accelerometers and gyroscopes to read the speed and angles of the owner's legs and adjust its movements accordingly What makes Superflex worthy of a superhero is that it has onboard sensory that learn the wearer's movements, which is used to turn on the power at the precise moment it is needed.

TEL AVIV (Reuters) - Israel's Zebra Medical Vision raised 12 million in a funding round led by Utah-based healthcare provider Intermountain Healthcare, with the participation of existing investors. Intermountain plans to work with Zebra to accelerate the creation of imaging algorithms to improve patient care. Zebra Medical, founded in 2014, seeks to teach computers to automatically read and diagnose medical imaging data. Its analytics engine helps physicians and healthcare providers analyze millions of imaging records. Current algorithms are in the fields of bone health, cardiovascular analysis, liver and lung indications.

A new app called FindFace, recently released in Russia, gives us a glimpse into what this future might look like. Made by two 20-something entrepreneurs, FindFace allows anybody to snap a photo of a passerby and discover their real name -- already with 70% reliability. The app allows people to upload photos and compare faces to user profiles from the popular social network Vkontakte, returning a result in a matter of seconds. According to an interview in the Guardian, the founders claim to already have 500,000 users and have processed over 3 million searches in the two months since they've launched.

Forget about interactive iPad newspapers, mobile apps and catchy television graphics. The future of news may be far less complicated than anyone could have imagined -- as simple as a conversation with a friend. We're on the cusp of a chatbot revolution, with tech giants Facebook, Google and Microsoft all competing to create the brainiest robotic agent powered by artificial intelligence. "We think you should be able to message a business in the same way you message a friend," Facebook CEO Mark Zuckerberg recently said, announcing the launch of a chatbot store during the social network's annual developers conference. "And you shouldn't have to install a new app."

Experience and Background: 12 years of overall experience 6 years of experience as solution Architect particularly in automation framework based solutions, Cognitive learning based solutions, Analytics solutions like descriptive, predictive, prescriptive etc. and business intelligence solutions. Experience in data modeling activities Minimum 1 years of experience in Hadoop/Big Data platform Architecture Areas of Expertise: Diverse experience in Architecture, Solution Design & Delivery Data analysis including data integration and transformation for different data formats like structured, semi-structured and unstructured Cognitive or Machine learning based algorithms and implementation Big Data concepts like Hadoop, MapReduce or Spark, NoSQL, In-memory or real time processing etc. Hardware infrastructure knowledge and sizing Well versed in concepts like data mining, text mining, data classification, pattern matching, pattern recognition etc. Advanced analytics comprising of predictive or prescriptive solutions Concepts of solution hosted in cloud infrastructure Strong Domain experience preferably in Banking, Aviation, Healthcare, Telecom (Either one of them will suffice). Tools and Technologies: Hadoop, IBM Watson or Alchemy API based tools, Java APIs, Knowledge about Python or R programing for analytical techniques, Visualization tools knowledge such as Tableau, Qlikview, Cognos, OBI, BO etc., Database knowledge including RDBMS and concepts of NoSQL, Data modeling tools, Natural Language processing Salary: Not Disclosed by Recruiter Industry: IT-Software / Software Services Functional Area: IT Software - DBA, Datawarehousing Role Category: Database Architect/Designer Role: Database Architect/Designer Keyskills: JavaMachine LearningData MiningNatural Language ProcessingSolution DesignNoSQLText MiningPythonPattern RecognitionBusiness Intelligence

Some business pundits today believe innovation ignites better in startups than in large, established corporations. They believe big companies are weighed down by their own success, too invested in the past to create and execute new ideas. They say, "You can't teach an old dog new tricks." In fact, a lot of big companies have proven they are better positioned than emergent firms to create and execute innovation, however on-fire a startup may be. Consider, for example, Hasbro's evolution from a product company in the 1990s into the brand experience powerhouse it is today by leveraging its core brands (for example, spreading Transformers across multiple platforms including toys, movies, theme park rides, television shows, digital gaming systems, and comic books; the venerable New York Times, published since September 18, 1851, reinvented itself in the digital age as New York Times digital; General Motors, in partnership with Lyft, plans to test a fleet of self-driving Chevrolet Bolt electric taxis on public roads to lead the transformation of the auto industry; and at barely two decades old, Google is a comparative youngster but has leaped from the web to the street with tangible new products, such as its self-driving car and betting on new technologies such as artificial intelligence and robotics. Corporations like these have the assets, resources, and capabilities necessary to fuel innovation.

A drunken man walking along a sidewalk at night trips and falls directly in front of a driverless car, which strikes him square on, killing him instantly. Had a human been at the wheel, the death would have been considered an accident because the pedestrian was clearly at fault and no reasonable person could have swerved in time. But the "reasonable person" legal standard for driver negligence disappeared back in the 2020s, when the proliferation of driverless cars reduced crash rates by 90 percent. Now the standard is that of the reasonable robot. The victim's family sues the vehicle manufacturer on that ground, claiming that, although the car didn't have time to brake, it could have swerved around the pedestrian, crossing the double yellow line and colliding with the empty driverless vehicle in the next lane.

Humanity has been given another chance to redeem itself: Google's Go-playing computer will compete against the world's best Go player, Ke Jie, before the year is out. The decision is a change of heart for Ke, who is 18 and comes from China. Ke initially boasted that he could beat the AlphaGo machine, which sounds like big talk, but then told Chinese news media that he didn't want to play because then it would copy his playing style. Earlier this year, AlphaGo won 4-1 against Go grandmaster Lee Sedol, a development that many hailed as a huge leap for artificial intelligence on the one hand, and on the other hand had South Korea (where Sedol is from) freaking out and then deciding to invest 860 million in the AI industry. Though computers have long been able to win games--it's been almost 20 years since Deep Blue beat chess champion Garry Kasparov--the match was a big deal because Go is a much more complicated game than chess.

Shoppers on the hunt for a new pair of shoes, clothing or makeup typically find themselves navigating through crowds at the mall, browsing a website, searching through a mobile app or picking up the phone. "Hi, welcome to Sephora! Get makeup tips and reviews by chatting with us. Do you want to take a short quiz so I can get to know your makeup style?" a chatbot for makeup retailer Sephora asked on Kik, a messaging app that's popular with teens. With a growing number of people using messaging apps, including Kik, Facebook-owned WhatsApp, Line, Snapchat and Facebook Messenger, major brands are experimenting with chatbots as a way to interact with customers in a more natural way, build a loyal following and drive sales. Powered by artificial intelligence, a chatbot is a computer program designed to mimic human conversations.