Elon Musk and many of the world's most respected artificial intelligence researchers have committed not to build autonomous killer robots. The public pledge not to make any "lethal autonomous weapons" comes amid increasing concern about how machine learning and AI will be used on the battlefields of the future. The signatories to the new pledge – which includes the founders of DeepMind, a founder of Skype, and leading academics from across the industry – promise that they will not allow the technology they create to be used to help create killing machines. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.
Keith Allen Bledsoe, the sixth teenage homicide victim in Lexington, Kentucky, this year, died as the other five had: by gunshot. On June 26, Lexington police found the 17-year-old Bledsoe's body in the streets of Harris Court, a cul-de-sac near I-64. If confrontation or argument had preceded Bledsoe's murder, none of the neighbors reported hearing it to police. If they heard gunshots, seemingly no one peered outside to investigate them. Officers reported no suspects or relevant witnesses, only shell casings and the gunshot wound to Bledsoe's head.
We present the Limited-range Online Routing Problem (LORP), which involves a team of Unmanned Aerial Vehicles (UAVs) with limited communication range that must autonomously coordinate to service task requests. We first show a general approach to cast this dynamic problem as a sequence of decentralized task allocation problems. Then we present two solutions both based on modeling the allocation task as a Markov Random Field to subsequently assess decisions by means of the decentralized Max-Sum algorithm. Our first solution assumes independence between requests, whereas our second solution also considers the UAVs' workloads. A thorough empirical evaluation shows that our workloadbased solution consistently outperforms current state-of-the-art methods in a wide range of scenarios, lowering the average service time up to 16%. In the bestcase scenario there is no gap between our decentralized solution and centralized techniques. In the worst-case scenario we manage to reduce by 25% the gap between current decentralized and centralized techniques. Thus, our solution becomes the method of choice for our problem. Keywords: task allocation, unmanned aerial vehicles, max-sum, decentralized 1. Introduction Unmanned Aerial Vehicles (UAVs) are an attractive technology for largearea surveillance . Today, there are readily available UAVs that are reasonably cheap, have many sensing abilities, exhibit a long endurance and can communicate using radios. UAVs have traditionally been controlled either remotely or by following externally-designed flight plans. Requiring human operators for each UAV implies a large, specialized and expensive human workforce. Likewise, letting UAVs follow externally prepared plans introduces a single point of failure (the planner) and requires UAVs with expensive (satellite) radios to maintain continuous communication with a central station. These constraints are acceptable in some application domains, other applications require more flexible techniques. For instance, consider a force of park rangers tasked with the surveillance of a large natural park. Upon reception of an emergency notification, the rangers must assess the situation as quickly as possible.