When speaking about AI (artificial intelligence) and deep learning technologies, the Chinese are not just innovating at rocket speed, but the businesses are rapidly adopting these technologies in real-life business use cases to optimise customer experience and expanding market reach. Let's have a look at how the Chinese banking and financial industries are using facial recognition in business operations governed by stringent security requirements. As the customer repeatedly progresses his banking and financing needs with a bank or financial institutions, why can't the customer apply for a new product or service, from the comfort of his/her couch at home/office? Alipay (an asset of Alibaba's Ant Financial and world's largest mobile payment platform since 2014 Q2), China Merchants Bank (as of 2015, it ranks third of all Chinese companies for net cash), China CITIC Bank (China's seventh-largest lender in terms of total assets), Bank of Jiangsu and Ping An Bank are using facial recognition API to accomplish remote ID verification, either through the convenience of a mobile app, or a self-service kiosk/ATM/VTM. China Merchants Bank's Self-Service ATM equipped with Facial Recognition Technology for ID Verification Some of these case studies are cited to have only 0.001 error rate at 98% True Positive Rate.

Lauding the transformative powers of artificial intelligence (AI) has almost become a cliche, and with good reason. And AI has the potential to transform the way governments design and deliver public services. Our report, published on 6 February, predicts that almost 250,000 public sector workers could lose their jobs to robots over the next 15 years. Governments around the world have recognised the potential of AI, but in practice actual application varies widely. Japan and Singapore are at the forefront of marrying intention and action to harness the power of AI.

The high radiation estimates in the No. 2 reactor of the stricken Fukushima No. 1 nuclear plant will probably force a rethink of the nationalized utility's robot-based strategy for locating its molten fuel. According to an analysis of Thursday's abbreviated probe, the radiation in the primary containment vessel is about 650 sieverts per hour, more than the 530 sieverts estimated late last month, Tokyo Electric Power Company Holding Inc. said. That level could kill a person quickly and indicates the fuel likely burned through the pressure vessel during the meltdown and is somewhere nearby. Tepco, as the utility is known, halted Thursday's robot after its camera went dark. The company suspects the problem was caused by the radiation.

Algorithms are instructions for solving a problem or completing a task. Recipes are algorithms, as are math equations. The internet runs on algorithms and all online searching is accomplished through them. Email knows where to go thanks to algorithms. Smartphone apps are nothing but algorithms. Computer and video games are algorithmic storytelling. Online dating and book-recommendation and travel websites would not function without algorithms. GPS mapping systems get people from point A to point B via algorithms. Artificial intelligence (AI) is naught but algorithms. The material people see on social media is brought to them by algorithms. In fact, everything people see and do on the web is a product of algorithms. Every time someone sorts a column in a spreadsheet, algorithms are at play, and most financial transactions today are accomplished by algorithms. Algorithms help gadgets respond to voice commands, recognize faces, sort photos and build and drive cars. Hacking, cyberattacks and cryptographic code-breaking exploit algorithms.

In June last year a fascinating aerial battle took place. It didn't take place in the actual sky but rather in the virtual one, which was appropriate considering it was a battle of man against machine. The man in question wasn't an ordinary pilot but a retired US Airforce pilot, Gene Lee, with combat experience in Iraq and a graduate of the US Fighter Weapons School. The machine he was battling was a simulated aircraft controlled by an artificial intelligence (AI). What was surprising about the outcome was that the artifical AI emerged as the victor.

The new year has arrived and it's going to be one big year for wearable tech. Evey year I look into my connected crystal ball and peek into the future to predict what might happen in the world of wearables. Here is how I think 2017 will shake down for the wearable world. The biggest buzzword of 2017 is AI, and it's set to be the saving grace of IoT and wearables. Deep learning is a massive missing piece when it comes to our connected world -- wearable tech included -- as cognitive computing and machine learning will make use of big data and connect the dots for users.

Ever since Facebook expanded access to its Messenger service in April 2016, giving businesses the ability to reach customers through APIs, "Chatbot" has become the buzzword in developer communities across the globe. Here is a short piece on the essentials for investing resources in chatbots that may be helpful to startups and established businesses alike. There is a certain'wow factor' when someone books a cab or orders a bouquet of flowers simply through a conversation. It's a never-seen-before phenomenon where computing intelligence uses natural human language to deliver simplified consumer experiences. Chatbots have the advantage of enabling users to access business services while on chat platforms like Facebook Messenger and Telegram.

Major smartphone makers are following Apple and Google into the smartphone trend of 2017: artificial intelligence. LG's G6 could feature Google Assistant, Samsung said its Galaxy S8 will feature its own AI assistant, and Huawei's Mate 9 is the first phone with Amazon's Alexa. The Chinese conglomerate has been especially vocal about AI in their smartphones--unusual for top smartphone makers, who are normally secretive about their latest devices. Huawei said they will have an AI-focused "Superphone" in 2020--just a year before their goal to be the world's top smartphone maker. The Chinese tech giant has been sitting at No. 3 since last year, behind Samsung and Apple.

Would we get on better with clever machines if they understood what mood we were in? Many roboticists and computer engineers seem to think so, because they're always trying to make their creations more human. Take Solo, the "emotional radio", for example. A wall-mounted device that resembles a large clock, it features a liquid crystal display at its centre. When you approach it, the pictogram face shows a neutral expression.

PALO ALTO, CA--(Marketwired - Feb 7, 2017) - SentinelOne, the company transforming endpoint security by delivering real-time protection powered by machine learning and dynamic behavior analysis, today announced the Deep File Inspection (DFI) engine, a significant new feature to its next-generation endpoint protection platform. The DFI engine identifies and prevents the execution of advanced threats and performs powerful, on-access static analysis to uncover and block file-based malware prior to execution and without any dependence on signatures. With DFI, SentinelOne Endpoint Protection Platform (EPP) becomes the only next-generation endpoint protection offering to seamlessly pair advanced static prevention with dynamic behavior-based detection within a single platform. Built with the same advanced machine learning technology that drives the company's award-winning behavior-based detection capabilities, the DFI engine earned SentinelOne EPP top scores across several validation test reports from AV Comparatives and AV-TEST, making it the first certified AV replacement for MacOS. "Legacy antivirus is simply no match for today's sophisticated file-based malware, which proliferates much faster than new signatures can be created," said Tomer Weingarten, CEO of SentinelOne.