Graduate students at the University of Tokyo have created a group of futuristic-looking drone prototypes that can change their structural shape mid-air. Graduate students at the University of Tokyo have outdone themselves and are changing the way we look at drones with their newest invention. They created a group of futuristic-looking drone prototypes that can change their structural shape midair. As you will see in the video below, this could be a game changer if the drones were to be used by companies or the military for moving and transporting things. CLICK TO GET KURT'S CYBERGUY NEWSLETTER WITH QUICK TIPS, TECH REVIEWS, SECURITY ALERTS AND EASY HOW-TO'S TO MAKE YOU SMARTER The students were inspired by the idea of a dragon flying through the air, as we've seen in movies like "Game of Thrones," and how they can twist and turn their bodies as they fly.

In this article, Juan Murillo, Senior Manager of Data Strategy at BBVA, and Jesús Lozano, Manager of Digital Regulation at BBVA, analyse the potential implications of Artificial Intelligence regulations and share their insights into the considerations that should be taken into account to ensure that regulatory aspects support the proper development of this discipline in the future. Artificial Intelligence is a term coined in the 1950s that is usually understood as referring to a single technology, when in reality it encompasses a broad range of techniques and methodologies whose theoretical foundations were laid over 70 years ago. This field has already gone through a number of stages. During the first stage, symbolic AI applications dominated. Symbolic AI is a top-down approach that aspires to parameterise all the alternatives to a problem in order to find the right solution by following a tree of logical rules.

Risk managers are grappling with a fear of the unknown. AI hasn't been adopted at a large scale and the unintended consequences aren't fully documented, according to Steve Culp, senior managing director for finance and risk at management consulting firm Accenture PLC. "Before there were ships," he said, "we never had shipwrecks." Eleven percent of risk managers in banking, capital markets and insurance say they aren't fully capable of assessing AI-related risks, according to a survey of 683 risk managers in nine countries released this week by Accenture. Respondents expressed a similar comfort level with assessing the possible downsides associated with blockchain technology, quantum computing and other emerging areas of technology.

Over the past few years, speculation surrounding the potential impact of disruptive technologies -- including 5G, quantum computing and artificial intelligence (AI) -- has reached a fever pitch. Soon, workplaces will feel their true impact. A recent survey found that six out of 10 global business and technology executives believe that 5G will cover almost the entire population by 2022, while seven out of 10 believe 5G applications will give them a competitive advantage with customers. Better yet, 5G may help pave the way for low-latency, high-bandwidth networks that are essential for scaling AI, internet of things (IoT) and robotics applications across an enterprise. But as with any new technology, the rewards of 5G are accompanied by risks.