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'Largest drone war in the world': How airpower saved Tripoli

Al Jazeera

Air power has played an increasingly important role in the Libyan conflict. The relatively flat featureless desert terrain of the north and coast means that ground units are easily spotted, with few places to hide. The air forces of both the United Nations-recognised Government of National Accord (GNA) and eastern-based commander Khalifa Haftar and his self-styled Libyan National Army (LNA) use French and Soviet-era fighter jets, antiquated and poorly maintained. While manned fighter aircraft have been used, for the most part the air war has been fought by unmanned aerial vehicles (UAVs) or drones. With nearly 1,000 air strikes conducted by UAVs, UN Special Representative to Libya Ghassan Salame called the conflict "the largest drone war in the world".


boeing unveils first loyal wingman combat drone prototype with artificial intelligence

#artificialintelligence

'this project is an excellent example of innovation through collaboration and what can be achieved working together with defence industry,' said air marshal hupfeld. 'this demonstrates the importance of the relationship air force has with boeing australia and defence industry more broadly. I look forward to exploring the capabilities this aircraft may bring to our existing fleet in the future.'


AI takes flight: Artificial Intelligence and Aviation -- AI Daily - Artificial Intelligence News

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Generative design – The aircraft designs of the future will be very different to those of today thanks to generative design. Generative design is an AI-based software that mimics nature's evolutionary approach to design. It involves the designer inputting a'problem' into design software like Autodesk Fusion (inputting limiting parameters like dimensions and weight). The program then uses AI to conjure the best solutions (designs) to the'problem'. Generative design produces'impossible concepts' – with complex shapes and lattices that produce a structure lighter, stronger and more aerodynamic than any design produced by a human – not least very different looking.


UPS to develop new delivery drones with Wingcopter - GPS World

#artificialintelligence

UPS Flight Forward (UPSFF) is collaborating with German drone-maker Wingcopter to develop the next generation of package delivery drones for a variety of use cases in the United States and internationally. UPSFF is a subsidiary of UPS dedicated to drone delivery. UPS chose Wingcopter for its unmanned aircraft technology and its track record in delivering a variety of goods over long distances in multiple international settings. "Drone delivery is not a one-size-fits-all operation," said Bala Ganesh, vice president of the UPS Advanced Technology Group. "Our collaboration with Wingcopter helps pave the way for us to start drone delivery service in new use-cases. UPS Flight Forward is building a network of technology partners to broaden our unique capability to serve customers and extend our leadership in drone delivery."


Phoenix Air Unmanned seek VTOL UAS - sUAS News - The Business of Drones

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Phoenix Air Unmanned, LLC (PAU) is seeking information on the availability of Unmanned Aircraft Systems to support linear infrastructure inspections. The UAS will be operated by PAU who has been contracted by Xcel Energy as their unmanned flight service provider and they plan to purchase a minimum of 4 aircraft initially with the possibility of additional aircraft in the future. Xcel Energy, Inc. owns over 120,000 miles of transmission and distribution infrastructure across eight states (CO, MI, MN, NM, WI, ND, SD, TX) that must be inspected at regular intervals as required by state and federal regulations. Xcel Energy, Inc. is a utility holding company with a service company (Xcel Energy Services) and four wholly owned utility subsidiaries that serve electric and natural gas customers. PAU was established in 2014 for commercial UAS operations.


Phoenix Air Unmanned seek VTOL UAS - sUAS News - The Business of Drones

#artificialintelligence

Phoenix Air Unmanned, LLC (PAU) is seeking information on the availability of Unmanned Aircraft Systems to support linear infrastructure inspections. The UAS will be operated by PAU who has been contracted by Xcel Energy as their unmanned flight service provider and they plan to purchase a minimum of 4 aircraft initially with the possibility of additional aircraft in the future. Xcel Energy, Inc. owns over 120,000 miles of transmission and distribution infrastructure across eight states (CO, MI, MN, NM, WI, ND, SD, TX) that must be inspected at regular intervals as required by state and federal regulations. Xcel Energy, Inc. is a utility holding company with a service company (Xcel Energy Services) and four wholly owned utility subsidiaries that serve electric and natural gas customers. PAU was established in 2014 for commercial UAS operations.


Boeing and Thales race to adopt AI, but say it won't kill jobs

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Artificial intelligence can increasingly be used to support human tasks but will not replace people completely, aerospace giants Boeing and Thales said Monday on the sidelines of the Singapore Airshow. Both companies, which are among a growing number of aerospace manufacturers integrating AI into operations, emphasized that the emerging technology was not about take away jobs from people in their industry for the forseeable future. "This technology is going to be primarily about improving productivity of the workforce in aviation or any industry, rather than replace or displace," said Naveen Hussain, general manager of research and technology at Boeing, who was on the panel. The U.S. plane maker is rolling out AI to automate processes on the factory floor, Hussain said. According to Boeing's website, its technologists are applying AI to machines used in the assembly process for fuselage sections of its 787 aircraft, which has helped speed up the manufacturing line.


Long term planning of military aircraft flight and maintenance operations

arXiv.org Artificial Intelligence

We present the Flight and Maintenance Planning (FMP) problem in its military variant and applied to long term planning. The problem has been previously studied for short- and medium-term horizons only. We compare its similarities and differences with previous work and prove its complexity. We generate scenarios inspired by the French Air Force fleet. We formulate an exact Mixed Integer Programming (MIP) model to solve the problem in these scenarios and we analyse the performance of the solving method under these circumstances. A heuristic was built to generate fast feasible solutions, that in some cases were shown to help warm-start the model.


Towards a Framework for Certification of Reliable Autonomous Systems

arXiv.org Artificial Intelligence

The capability and spread of such systems have reached the point where they are beginning to touch much of everyday life. However, regulators grapple with how to deal with autonomous systems, for example how could we certify an Unmanned Aerial System for autonomous use in civilian airspace? We here analyse what is needed in order to provide verified reliable behaviour of an autonomous system, analyse what can be done as the state-of-the-art in automated verification, and propose a roadmap towards developing regulatory guidelines, including articulating challenges to researchers, to engineers, and to regulators. Case studies in seven distinct domains illustrate the article. Keywords: autonomous systems; certification; verification; Artificial Intelligence 1 Introduction Since the dawn of human history, humans have designed, implemented and adopted tools to make it easier to perform tasks, often improving efficiency, safety, or security.


ATTOL: Autonomous Taxiing, Take-Off and Landing test flight

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Sign in to report inappropriate content. Airbus has successfully performed the first fully automatic vision-based take-off using an Airbus Family test aircraft at Toulouse-Blagnac airport. The test crew comprising of two pilots, two flight test engineers and a test flight engineer took off initially at around 10h15 on 18 December and conducted a total of 8 take-offs over a period of four and a half hours.