Over the next few years, AI is projected to bring several breakthroughs in the aerospace industry by cutting costs, shortening design processes, eliminating duplication, experimenting, augmentation, support, production, and upgrading things. AI developments might help the aviation and aerospace sectors to enhance their production methods. The aerospace industry, however, has limited adoption of AI approaches, primarily due to a lack of access to high-quality data, a preference for simple models over complex models, and a need for more competent staff and partners to execute it effectively. However, the proper partner might make AI a revolutionary innovation that impacts aerospace companies' productivity, effectiveness, development, and speed. The aviation sector uses machine learning, computer vision, robotics, and natural language processing to benefit from AI. Predictive maintenance, pattern recognition, auto-scheduling, targeted advertising, and an analysis of client feedback are some of the key advantages. Artificial intelligence (AI) technology is greatly enhancing flight operations and having a significant impact on the commercial aviation sector.

Singapore Airlines (SIA) and the National University of Singapore (NUS) today launched a new digital aviation corporate laboratory, which will co-create innovative technologies and solutions that would accelerate the digital transformation of Singapore's aviation sector, and help redefine the air travel experience for passengers. The SIA-NUS Digital Aviation Corporate Laboratory was officially launched by Mr Heng Swee Keat, Deputy Prime Minister, Coordinating Minister for Economic Policies and Chairman of the National Research Foundation Singapore (NRF). Situated at the Innovation 4.0 Building at NUS Kent Ridge campus, the S$45 million research facility is jointly set up by SIA and NUS and supported by the NRF. This is the seventh corporate laboratory to be established at the University, which is also the 19th in Singapore. The Corporate Laboratory is the result of a robust partnership between NUS and SIA.

Sign up here for GlobalData's free bi-weekly Covid-19 report on the latest information your industry needs to know. British mathematician and scientist Alan Turing first looked into computing intelligence in 1950. In a paper called "Computing Machinery and Intelligence", he suggested using a now-famous'Imitation Game' to test a machine's sentient capabilities, which eventually laid the groundwork for the development and discovery of artificial intelligence (AI). Decades later, AI and its subsets – machine learning and deep learning – are set to influence the future of many sectors, including aviation. Over the last few years, AI has found a wide array of applications in the industry – from ground handling services to airport security and air traffic management (ATM) – and there is now scope for more.

Ruben Martinez Sevillano, Director at ALG led a session on how Big Data is being applied to aviation safety and safety intelligence. He showed how AI is already being widely used in the industry to enhance traffic forecasting, optimise flight routes, increase predictability of operations and identify potential threats and safety hazards. The session advised the industry to move to a more proactive approach through use of data, for analysis of events and precursors and advise on improvements in regulations and procedures.

Montreal: Shaikh Abdullah Bin Zayed Al Nahyan, Minister of Foreign Affairs and International Cooperation, has visited the headquarters of "Element AI", a Canadian artificial intelligence company, within the framework of his official visit to Canada. Shaikh Abdullah also visited the headquarters of CAE Inc, a Canadian manufacturer of simulation technologies, modelling technologies and training services. He was briefed on the mission of "Element AI" and its most prominent programmes, and lauded its work in AI research and development. Element AI was founded in 2016 by leading AI researchers in Montreal, and is pioneering an'AI-First World' by turning the world's most important AI research into transformative business applications. While touring CAE Inc facilities and was briefed about its most prominent programmes that it offers as well as its simulation systems provided to customers, which will contribute to preparing qualified human resources to work in the aviation sector.

The major factors driving the growth of the AI in aviation market include the use of big data in the aerospace industry, significant increase in capital investments by aviation companies, and rising adoption of cloud-based applications and services in the aviation industry. However, limited number of experts in AI is restraining the growth of the AI in aviation market. AI-based virtual assistants help airline companies improve the productivity and efficiency of their pilots by reducing their recurring works, such as changing radio channels, reading wind forecasts, and providing position information on request, among others. These recurring jobs are taken care by AI-enabled virtual assistants. Companies such as Garmin (US) offer AI-enabled audio panels, which are useful for pilots.