Artificial intelligence will create new liabilities for organizations, but it can also be harnessed as a risk management tool, a panel of experts said. By processing high volumes of data, risk managers can get a better grasp of the risks they face, spend less time on repetitive tasks and use connected devices to enhance their risk management processes, they said. Companies are already implementing AI, and risk managers should ensure they are aware of the risks and liabilities that the technology creates, said Philippe Cotelle, head of insurance and risk management at Airbus Defence & Space, a division of Airbus SE in Toulouse, France. He was speaking during a session of the Federation of European Risk Management Associations' biennial forum in Berlin on Monday. Risk managers should make sure they are "going to capture what is within AI both in terms of risks and in terms of opportunity, and it becomes a tool for the risk manager," Mr. Cotelle said.
Key Questions Answered in this Report: • What are the trends in the global military artificial intelligence and cybernetics across different regions? Global Military Artificial Intelligence Market Forecast, 2019-2024 The Global Military Artificial Intelligence Market report projects the market to grow at a significant CAGR of 18.66% on the basis of value during the forecast period from 2019 to 2024. North America dominated the global military artificial intelligence market with a share of 48.23% in 2019. North America, including the major countries such as the U.S., is the most prominent region for the military artificial intelligence market. In North America, the U.S. acquired a major market share in 2019 due to the major deployment of counter measures in defense sector in the country.
Aviation Industry has been a supply of innovation. Be it technical developments that presently create it into the hands of consumers or proactive responses to economic trends quickly felt by the remainder of the globe, the aviation and part business is paving its approach. Below area unit some things that the business will expect to within the coming back years. Big data is growing its influence on the aviation business, informing the approach enterprises act with their customers and client expectations of the companies with that they network. Analytics facilitates makers to manage resources higher and cut back time to promote and allow airlines to understand customers higher and predict their behavior.
There's literally a lot more stuff in space than there was last week – or at least, the number of active human-made satellites in Earth's orbit has gone up quite a bit, thanks to the launch of SpaceX's first 60 production Starlink satellites. This week also saw movement in other key areas of commercial space, and some continued activity in early-stage space startup ecosystem encouragement. Some of the'New Space' companies are flexing the advantages that are helping them shake up an industry typically reserved for just a few deep-pocketed defence contractors, and NASA is getting ready for planetary space exploration in more ways than one. The 60 Starlink satellites that SpaceX launched this week are the first that aren't specifically designated as tester vehicles, even though it launched a batch of 60 earlier this year, too. These ones will form the cornerstone of between 300-400 or so that will provide the first commercial service to customers in the U.S. and Canada next year, if everything goes to SpaceX's plan for its new global broadband service.
John Carmack, who was recently announced as the recipient of the first-ever Accenture VR Lifetime Achievement Award, has announced that he is stepping back from VR development. Carmack said in a Facebook post that, as of this week, he'll transition to "Consulting CTO" at Oculus VR--until now he was the regular, everyday CTO--which will enable him to have a voice in future development, while only taking up "a modest slice of my time." Carmack said that his previous efforts in game development, aerospace engineering (on top of everything else, Carmack is literally a rocket scientist), and VR have always afforded him some degree of a "line of sight" to solutions. Now he wants to see what happens when he doesn't have that advantage. "I have sometimes wondered how I would fare with a problem where the solution really isn't in sight," he wrote.
GlobalData has identified ten key technology trends that will impact the IoMT theme over the next 12 to 24 months. The Internet of Things (IoT) in the defence industry, also known as the Internet of Military Things (IoMT) or Internet of Battlefield Things (IoBT), is in its early stages. GlobalData forecasts that leading companies in C4ISR, cybersecurity, autonomy, and other related fields, such as Northrop Grumman, Boeing, Lockheed Martin, Thales, BAE Systems, L3 Harris Technologies, Leonardo DRS, and Airbus, will be part of the IoMT revolution. Below are some of the key technology trends impacting the IoMT theme over the next 12 to 24 months, as identified by GlobalData. AI is a key element for the optimal use of IoMT, as it allows for more efficient analysis of the vast amounts of data that flow at a high rate from an increasingly large number of edge devices.
Japan will begin research on using artificial intelligence to bolster surveillance by naval patrol aircraft, as a changing national security environment forces the Self-Defense Forces to take on wider roles despite a personnel shortage. The AI would help ascertain whether a target spotted by conventional radar is an enemy vessel or some other threat. Machine learning through previous data would be used to develop the ability to identify a vessel from images that are difficult for the human eye to decipher. Currently, radar data converted to black-and-white images are scrutinized by experienced SDF personnel. The Defense Ministry will use a budget of about 900 million yen ($8.25 million) for development in the fiscal year starting in April, with the goal of outfitting Maritime SDF patrol planes with the technology as early as fiscal 2024.
For a factory where robots toil around the clock to build a rocket with almost no human labour, the sound of grunts echoing across the parking lot make for a jarring contrast. "That's Keanu Reeves' stunt gym," says Tim Ellis, the chief executive and cofounder of Relativity Space, a startup that wants to combine 3D printing and artificial intelligence to do for the rocket what Henry Ford did for the automobile. As we walk among the robots occupying Relativity's factory, he points out the just-completed upper stage of the company's rocket, which will soon be shipped to Mississippi for its first tests. Across the way, he says, gesturing to the outside world, is a recording studio run by Snoop Dogg. Neither of those A-listers have paid a visit to Relativity's rocket factory, but the presence of these unlikely neighbours seems to underscore the company's main talking point: It can make rockets anywhere.
"I work on making robots better teammates," Julie Shah told attendees at 2019 AI World Conference & Expo in Boston. The MIT Associate Professor of Aeronautics and Astronautics described her work in a keynote talk entitled "Enhancing Human Capability with Intelligent Machine Teammates." She said, "We're trying to enhance human capability rather than replace humans." Also Associate Dean of Social and Ethical Responsibilities of Computing at MIT, Shah directs the Interactive Robotics Group, which designs collaborative robot teammates that aim to enhance human capability. Prior to joining the MIT faculty, she worked at Boeing Research and Technology on robotics applications for aerospace manufacturing.
A team of researchers at the University of Luxembourg and the University of Ontario Institute of Technology have recently proposed a new approach to design trajectories for energy-efficient unmanned aerial vehicle (UAV)-enabled wireless communications. Their paper, prepublished on arXiv, specifically focuses on cases in which an UAV acts as a flying base station (BS) to serve ground users (GSs) within some predetermined latency constraints. "Our goal is to design the UAV trajectory to minimize the total energy consumption while satisfying the RT requirement and energy budget, which is accomplished via jointly optimizing the trajectory and UAV's velocities along subsequent hops," the researchers wrote in their paper. Optimizing a UAV's trajectory and its velocities together can be somewhat difficult to achieve. To do so, the researchers developed an approach that carries out two consecutive steps.