British illustrator and visual-effects director Gavin Rothery makes his feature debut with this artificial intelligence thriller: a tale of love, death and robotics that has some nicely creepy moments. Set in 2038, it centres on lonely computer scientist George Almore (Divergent's Theo James), who is holed up in a remote research facility in Japan secretly working on an android version of his wife Jules (Stacy Martin); she has died in a car crash. His prototype, J3 (also played by Martin), is his closest yet to the real thing: a highly advanced humanoid with spookily pale skin who looks like she might be the ghost of his dead wife. Poor old J1 and J2, his earlier, clunkier prototypes: they look on bitterly as the newer, sleeker model gets all George's attention. The movie opens with sweeping helicopter shots over a snowy forest.
Although the world is still battling the coronavirus, one Italian designer is looking toward a post-pandemic world to help commuters travel safely and securely to their destination. Andrea Ponti released a gallery of concept designs for a private jet-like drone that carries up to four passengers while they sit in single seats with soft fabric and leather cushions. Called'Kite,' the craft would use a propulsion system of four double-helix rotors and features a pair of LED headlights to help with landing and low-altitude flying. Ponti chose the name as a reference to the black kite, a well-known bird in Hong Kong, as he aims to use the air taxis in China's Greater Bay Area. This area consists of nine cities and two special administrative regions – locations that are suffering economically due to travel restrictions amid the coronavirus.
Due to the advancements in cellular technologies and the dense deployment of cellular infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and beyond cellular networks is a promising solution to achieve safe UAV operation as well as enabling diversified applications with mission-specific payload data delivery. In particular, 5G networks need to support three typical usage scenarios, namely, enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC). On the one hand, UAVs can be leveraged as cost-effective aerial platforms to provide ground users with enhanced communication services by exploiting their high cruising altitude and controllable maneuverability in three-dimensional (3D) space. On the other hand, providing such communication services simultaneously for both UAV and ground users poses new challenges due to the need for ubiquitous 3D signal coverage as well as the strong air-ground network interference. Besides the requirement of high-performance wireless communications, the ability to support effective and efficient sensing as well as network intelligence is also essential for 5G-and-beyond 3D heterogeneous wireless networks with coexisting aerial and ground users. In this paper, we provide a comprehensive overview of the latest research efforts on integrating UAVs into cellular networks, with an emphasis on how to exploit advanced techniques (e.g., intelligent reflecting surface, short packet transmission, energy harvesting, joint communication and radar sensing, and edge intelligence) to meet the diversified service requirements of next-generation wireless systems. Moreover, we highlight important directions for further investigation in future work.
Recent researches on robotics have shown significant improvement, spanning from algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged robots, drones, and autonomous vehicles, are now widely applied in diverse scenarios. However, the high computation and data complexity of robotic algorithms pose great challenges to its applications. On the one hand, CPU platform is flexible to handle multiple robotic tasks. GPU platform has higher computational capacities and easy-touse development frameworks, so they have been widely adopted in several applications. On the other hand, FPGA-based robotic accelerators are becoming increasingly competitive alternatives, especially in latency-critical and power-limited scenarios. With specialized designed hardware logic and algorithm kernels, FPGA-based accelerators can surpass CPU and GPU in performance and energy efficiency. In this paper, we give an overview of previous work on FPGA-based robotic accelerators covering different stages of the robotic system pipeline. An analysis of software and hardware optimization techniques and main technical issues is presented, along with some commercial and space applications, to serve as a guide for future work. Therefore, the computation and storage complexity, as well as real-time and power constraints of the robotic system, Over the last decade, we have seen significant progress hinders its wide application in latency-critical or power-limited in the development of robotics, spanning from algorithms, scenarios . Various robotic systems, like Therefore, it is essential to choose a proper compute platform manipulators, legged robots, unmanned aerial vehicles, selfdriving for the robotic system. CPU and GPU are two widely cars have been designed for search and rescue , , used commercial compute platforms. CPU is designed to exploration , , package delivery , entertainment , handle a wide range of tasks quickly and is often used to  and more applications and scenarios. These robots are develop novel algorithms. A typical CPU can achieve 10-on the rise of demonstrating their full potential. Take drones, 100 GFLOPS with below 1GOP/J power efficiency . In a type of aerial robots, for example, the number of drones contrast, GPU is designed with thousands of processor cores has grown by 2.83x between 2015 and 2019 based on the running simultaneously, which enable massive parallelism. The typical GPU can perform up to 10 TOPS performance and registered number has reached 1.32 million in 2019, and the become a good candidate for high-performance scenarios. Recently, FFA expects this number will come to 1.59 billion by 2024.
The decades-old dream of zipping around in the sky as simply as driving on highways may be becoming less illusory. Japan's SkyDrive Inc., among the myriads of "flying car" projects around the world, has carried out a successful though modest test flight with one person aboard. In a video shown to reporters on Friday, a contraption that looked like a slick motorcycle with propellers lifted several feet (1 to 2 meters) off the ground, and circled around slowly in a netted area for four minutes. Tomohiro Fukuzawa, who heads the SkyDrive effort, said he hopes "the flying car" can be made into a real-life product by 2023 but acknowledged that making it safe was critical. "Of the world's more than 100 flying car projects, only a handful has succeeded with a person on board," he said. "I hope many people will want to ride it and feel safe."
Iran has retrieved some data, including a portion of cockpit conversations, from the Ukrainian plane accidentally downed by Islamic Revolutionary Guard Corps (IRGC) forces in January, killing all 176 people on board. Analysis of the black boxes showed it was hit by two missiles, 25 seconds apart, and that passengers were still alive for some time after the first impact, an Iranian official said on Sunday. The announcement by the head of Iran's Civil Aviation Organisation marks the first official report on the contents of the cockpit voice and data recordings, which were sent to France for analysis in July. Tehran has said it accidentally shot down the Ukraine airliner at a time of extreme tensions with the United States. In remarks quoted by state media, Captain Touraj Dehghani Zangeneh said the black boxes have only 19 seconds of conversation following the first explosion.
What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.
A wing-flapping drone inspired by the world's fastest bird has been developed that could one day find use in everything from surveillance operations to flower pollination. An international team of researchers designed the 26-gram ornithopter drone to hover, dart, glide, and dive just like a swift, making it far more versatile than a traditional quadcopter drone. "Unlike common quadcopters that are quite intrusive and not very agile, biologically-inspired drones could be used very successfully in a range of environments," said Dr Yao-Wei Chin, a research scientist from the National University of Singapore who led the project. "The light weight and the slow beating wings of the ornithopter poses less danger to the public that quadcopter drones in the event of a crash and given sufficient thrust and power banks it could be modified to carry different payloads depending on what is required." The researchers expect the first commercial use of the drone could be in monitoring large crowds or inspecting crops in fields.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. French officials on Monday said investigators have obtained cockpit voice data from the black boxes of the Ukrainian jet mistakenly shot down by Iran in January. "CVR data - including the event itself - has been successfully downloaded," wrote France's BEA investigation bureau said in a tweet. The deadly incident came during a period of heightened tensions with the U.S. -- just hours after Iran fired missiles at Iraqi airbases housing American troops in retaliation for a U.S. drone strike that killed Iran's top military commander, Gen. Qassim Soleimani, earlier in January.
Law enforcement and military personnel might finally have a way to track malicious drones and prevent millions of dollars in damage thanks to new artificial intelligence research. Academics at Israel's Ben-Gurion University of the Negev have developed a way to locate the operator of a drone by looking at how the airborne vehicle moves. Locating the pilots of malicious drones is a pressing issue. In December 2018, Gatwick Airport had to close its runways to avoid drones flying dangerously close. Officers believed that it was a deliberate attack on the airport.