future of ai in aviation industry

These are airspace capacity, which is rapidly running out in Europe, the climate change crisis, digital transformation and new levels of complexity in the integration of unmanned aircraft in an already overcrowded airspace. Global markets and indices powered by GlobalData, Macro-economic indicators (1 of 2) powered by GlobalData, Macro-economic indicators (2 of 2) powered by GlobalData. First, AI is quite expensive. Decades later, AI and its subsets - machine learning and deep learning - are set to influence the future of many sectors, including aviation. The sector is now eager to find more applications for AI, with some European countries - particularly Ireland, Finland, Cyprus, Luxembourg, Sweden and the Netherlands - leading the way. In fact, industry has developed AI as a technology over the last 60 years, and periodically it becomes mainstream news. In addition, the European Aviation High Level Group on AI suggests launching specific aviation/ATM training, reskilling/upskilling programmes, change management, a knowledge-based toolbox, and European AI aviation/ATM master classes to share best practices. 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 … In 2016, the U.S. commercial aviation industry generated an operating revenue of $168.2 billion. AI has started to reshape the future of airline industry. AI In Aviation Market Worth USD 1014.81 million by 2023, Global AI In Aviation Market is anticipated to grow at a CAGR of 46.83% during forecast 2017 to 2023 | AI In Aviation Industry This is the argument of the recently-published FLY AI report, which sets out key steps towards a stronger adoption of AI, machine learning and other digital tools in several areas of aviation. “Machine learning and deep learning are helping to create applications that can learn autonomously and advise on complex problems. “future-proof” their aviation connectivity. ©2017 The Museum of Flight - All Rights Reserved. In our previous AI article we illustrated an optimistic view of AI implementation in aviation. In March 2018, a woman in Tempe was killed by a self-driving Uber SUV—a vehicle programmed by deep learning algorithms that constitute artificial intelligence (AI) technology. Eventually, data science is applied to operations optimiz… While self-driving cars still have a long way to go, AI is not disappearing any time soon, and major players in the aviation industry, like Boeing, are investing in technologies that may be getting us closer to … Here, automation can help improve operational efficiency in different segments of aviation. Artificial Intelligence (AI) today is one of the hottest buzzwords in business and industry, and it has military applications, too. Want to learn more about the evolution of aviation technology? When the Washington Post announced the partnership, it quoted Aerospace Data Analytics Lab Director Jaime Carbonell’s outline for an audacious plan for “self-healing airplanes” that would forever transform the aviation industry. Second, it will take some time for implementation by the worldwide aviation industry. Eero Knuutila is Head of Service Development at Helsinki Airport. “Recently, significant effort has been put on adapting the current certification framework to the specific characteristics of AI applications. All of these benefits sound great, but what about the people tasked with performing maintenance checks now? Lastly, the technology can enhance safety in segments such as cybersecurity, conflict detection, traffic advisory and resolution tools. Airport development … In recent times the technology has gained traction in segments such as intelligent maintenance, engineering and prognostics tools, supply chains and customer services. The International Air Transport Association (IATA) has determined the technologies and factors that will define how aviation industry will shape up in its recent report on “ Future of the Airline … The group was formed during EUROCONTROL’s inaugural conference on AI that took place in May last year. Machine Learning and Data Analytics Symposium in Qatar. Mike Sinnett, vice president of product development at Boeing, observes that the automotive industry is not as highly regulated as 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. Here’s another: Tesla founder and tech titan Elon Musk recently donated $10 million to fund ongoing research at the non-profit research company OpenAI — a mere drop in the proverbial bucket if his $1 billion co-pledge in 2015 is any indication. In a 2017 GeekWire article, Boyle quotes Sinnett as saying that when it comes to self-driving vehicles, the standards are different between the auto and aviation industries: “They’ve got to be better than 40,00 and we’ve got to be better than zero.’”. While AI is promising for the future of the aviation industry, it has some pitfalls as well. Going online: a saving grace for airport retail? IFM is just one of countless AI innovators in a field that’s hotter than ever and getting more so all the time. Pilot, Based on these inroads over the past few years, we can surmise that Boeing is indeed invested in exploring AI in aviation, but only to a certain degree. You know how sometimes you’re sitting on a plane, waiting to take off, and you hear an announcement about a maintenance-related delay? Boeing, Bots, and the Future of AI in Aviation. The failure of the MCAC system was the key reasons behind the fatal accident. With AI, the industry’s focus on cybersecurity has also increased.”, Based on this assumption, the report aims to “demystify and accelerate the use of AI in aviation and ATM in particular”, says Guillermet. In addition, Guillermet says that the pandemic is shining light on the importance of new technologies to help businesses through a crisis. But we have many challenges to overcome. The AI system can make comparisons between the flight plans of a plane that is about to … Can we indeed anticipate a robot flying us from Seattle to Los Angeles any time soon? For instance, it takes time for implementation and it cannot be used as an ideal tool for customer service. 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 … The European Aviation High Level Group has launched a new report, titled ‘FLY AI’, which aims to “demystify and accelerate” the use of AI in aviation. Aviation is no stranger to the virtues of AI.”. Guillermet explains that Europe has “a strong basis of expertise and knowledge to further develop AI for ATM”. In March, Ethiopian Airlines Flight 302, a Boeing 737 series crashed minutes after it took off, and all 157 people onboard die… “A way forward would be to set up a community of practice.”. This is an opportunity for exponential growth which needs to be handled well. “The aviation industry has started to exploit the potential of machine learning algorithms on non-safety critical applications,” adds EUROCONTROL head of infrastructure division Paul Bosman. Take the example of the U.S. commercial aviation industry: In the next two decades, passenger count is expected to double. AI means a machine which can learn and think. “There is so much data available now in the aviation space, so the idea is that you’d be able to predict maintenance schedules, or when a component is going to fail, so you can take care of those issues before they actually occur,” says Boyle. Machine Learning & Artificial Intelligence in Aerospace Industry Artificial intelligence plays a significant role in cutting costs, reducing the design cycle time, simulation, prototyping, optimization, maintenance, manufacturing and updating products and is all set to drive many developments in the aerospace … While self-driving cars still have a long way to go, AI is not disappearing any time soon, and major players in the aviation industry, like Boeing, are investing in technologies that may be getting us closer to personal forms of air transport, self-flying airplanes and pilotless aircraft. Humans are, after all, fallible and expensive. Also, AI is q… The Boeing 737 crashed a few minutes after it took off from the capital of Ethiopia. “We also looked at the future evolution in the use of AI,” he continues, “in particular with the development of joint human-machine cognitive systems.". Here’s a good indicator: Of the 9,100 patents received by IBM inventors in 2018, 1,600 (or nearly 18 percent) were AI-related. A timeline on the Go Fly Prize website identifies milestones of human flight, like the Flying Pulpit, the Gossamer Condor, and Hiller’s Flying Platform—all machines with room for one flyer that manifest the dream of “pure human flight.” President and CEO Dennis Muilenburg confirms Boeing’s interest in alternative forms of human flight by announcing in March that air taxis may take to the skies sooner than we anticipate. Devin Liddell | Principal Futurist Devin Liddell is a futurist who works collaboratively with clients to design preferred futures in aviation, automotive, smart cities, … AI is being explored in the commercial airline segment of the aviation industry and is being integrated across multiple areas including customer service, airport and flight operations. These include leader EUROCONTROL, the Single European Sky ATM Research (SESAR) Joint Undertaking, the International Air Transport Association, Airbus and Airport Council International’s European division. The aviation industry needs to move beyond its present ways of working and find better ways to optimize resources, improve customer satisfaction an… Robotics & AI // Mar 2020 Lyon Airport to expand … In the future, the AI system will be used to interpret information for the airborne flights’ radar and monitor the weather. “AI’s ability to identify patterns in complex real-world data that human and conventional computer-assisted analyses struggle to identify makes it extremely well-suited to the aviation sector,” says Bosman. 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). Both EUROCONTROL and SESAR believe that the ongoing coronavirus crisis could help foster automation in the industry despite the challenges that it is causing. Pilotless aircraft could eliminate all these inefficiencies, and Boeing is starting to explore how to make it possible. “The crisis has shown the limits and significant efforts required when using the current manual approach or analytical tools to try to understand the impact of the crisis, predict and help business recovery,” says Bosman. This, Bosman says, will help consolidate community expertise. FLY AI: the role of artificial intelligence in aviation. We’ve all grown familiar with horror stories about technological mishaps involving personal assistant bots, like Alexa and Siri, and self-driving cars. Data analytics and machine learning could prevent these nuisances from happening in the first place, making for happier passengers and less money wasted on lost flying hours. Released by the newly formed European Aviation High Level Group on AI, the paper draws upon expertise from key players in the sector. This could mean that companies like Spark Cognition, with its machine learning technologies, will play a much bigger role in the aviation industry. “Because aviation is one of the industrial sectors most impacted by the coronavirus pandemic, it should further accelerate the adoption of AI,” Bosman concludes. They won’t be completely left out of the loop, says Boyle. This field directly involves SESAR, which has been coordinating all EU research and development activities in ATM since 2007 and actively contributed to the production of the report. Will blockchain boost air cargo efficiency after Covid-19? Machine learning digital assistants can mine huge amounts of historical data to support human operators on the ground or in the cockpit, A key takeaway from the report is that stronger cooperation is needed to integrate AI in the existing aviation architecture. Awareness and demystification campaigns should also be included. There are an estimated 40,000 automobile-related deaths in the U.S. annually, but only one death due to commercial airline accidents since 2009. On the other hand, EUROCONTROL has acted as leader of the project under the European Aviation High Level Group on AI. In 2015, Boeing took a major step towards embracing AI and machine learning by partnering with Carnegie Mellon University’s Language Institute to research possibilities for machine learning, language technologies and data analytics in aviation. According to Bosman, the plan identifies six accelerators that will help achieve this purpose. This third option is an attractive investment for airlines. Most notably, however, in Boeing’s path towards autonomous aviation, is its sponsorship of the fifth annual Machine Learning and Data Analytics Symposium in Qatar in March 2018. It also features a ‘FLY AI Action Plan’ that outlines future measures to better integrate the technology in ATM and other segments of aviation. The European Aviation High Level Group on AI has published a report assessing the benefits of using AI in aviation and air traffic management. Another critical move by Boeing is its acquisition of Aurora Flight Sciences, which aims to “disrupt the future of aerospace mobility” with autonomous technologies for aircraft systems. With that in mind, do share with us your insights, thoughts and feedback at gia@iata.org. Google first began testing self-driving cars in 2009, but we also know that the auto industry’s progress towards self-driving cars has been slow and rife with embarrassment, which means that self-flying planes are not a huge concern—yet. “AI has the potential to transform aspects of the aviation sector, enabling ATM functions to be performed in entirely different ways in the future.”, Bosman also believes that automation can play a pivotal role in improving the industry’s environmental credentials. Advances in AI are reshaping the future for airlines. The Artificial Intelligence (AI) white paper outlines the results of IATA research and development activities on AI in collaboration with airlines and the wider value chain. Other companies similar to Aurora Flight Sciences, like Spark Cognition, are making headway in the aviation industry with machine learning solutions that, according to its website, can cut maintenance costs and improve asset liability for major aviation operators by 35%. It also allows airlines to make informed decisions about pricing and market positioning through the smart use of data. Other innovations are predicted for the future of AI in the aviation industry, with American Airlines even holding a competition to develop an app that would make baggage screening easier and … hbspt.cta._relativeUrls=true;hbspt.cta.load(3470830, 'c97d9e01-a97e-4d50-b96f-b017df4b731f', {}); Topics: “AI has been around for more than 60 years but has gained ground more recently, thanks to advances in computing and access to data,” comments SESAR JU executive director Florian Guillermet. In response to this need, the report’s FLY AI Action Plan looks at the whole value chain from research to implementation and provides stakeholders with a call for action. Progress has not always been smooth, particularly in the 20th century when funding for AI research was principally public sector, primarily aimed at academic research and the military. British mathematician and scientist Alan Turing first looked into computing intelligence in 1950. Within this framework, the FLY AI report identified four areas where AI can help tackle current and future challenges. Improvement has been done in the areas of flight maintenance, passenger identification, crew management, and they all have one centre objective- … Specifically, AI’s reliance on historical data sets on which to train neural networks means that in the event of a second wave of the pandemic, using these data sets will help improve crisis response. “As a precaution in the face of such a risk, it makes sense to gather and store all possible data related to the virus and its impact. Airbus is also looking into the future in terms of new offerings that will use AI, be it in the form of urban air mobility or through the development of new data-based services," he finished. The aim is to create an ecosystem involving industry, research institutes, start-ups, policymakers and all relevant stakeholders. “Mastering these technologies and accelerating our plans for a digital Europe sky will deliver an aviation operating environment, which is more resilient, scalable and economically and environmentally sustainable in the long run,” he comments. Lead authors EUROCONTROL and SESAR JU discuss the report’s takeaways and where automation can help the sector take off in the coming years with Adele Berti. The report is not meant to be the start and end of the conversation. AI-empowered systems may soon allow autonomous flying machines to reduce the number of pilots and soldiers working in high-risk environments. Decades later, AI and its subsets - machine learning and deep learning - are set to influence the future of many sectors, including aviation. Before we can even get to speculating about pilotless planes, urges Boyle, we need to consider how machine learning can impact other spaces within the aviation industry, like production and maintenance. Could the Covid-19 outbreak prompt a sustainability reset in aviation? Get the Museum's blog posts direct to your mailbox. Advances in machine vision (currently applied in the automotive industry) will also find distinct applications on aircraft. “The aim is to create an ecosystem involving industry, research institutes, start-ups, policymakers and all relevant stakeholders, in which all conditions are met to progress collectively on this,” says Guillermet. “By accelerating the digital transformation in terms of optimising trajectories, creating ‘green’ routes and increasing prediction accuracy,” he says, “AI could make a real difference to mitigating the environmental impacts of aviation, in addition to providing decision-makers and experts with new features that could transform the ATM paradigm in terms of new techniques and operating procedures.”. Alongside debunking some myths around AI, the paper identifies the most promising areas for its uptake. All airlines might not be able to afford or invest in such new and expensive technology. Application areas include crew management, flight maintenance, ticketing, and passenger identification. “It is now critical that the community gets together,” he adds. We do not fully understand what AI is capable of, and how AI will impact the industry… The company immediately suspended testing until improvements could be made. The aviation industry has started to exploit the potential of machine learning algorithms on non-safety critical applications. This is so that they can be used to develop new AI applications that could support the aviation industry in dealing with any future waves of Covid-19 or other pandemics.”. technology, Sign Up for Our Flight Plans Newsletter Subscribe, The Museum of Flight, 9404 E. Marginal Way South, Seattle, WA 98108-4097. “AI can really help transform the industry, provide better decision-making tools, and improve industrial and operational efficiency.”, The crisis has shown the limits and significant efforts required when using the current manual approach, Low-cost travel companies will benefit from high levels of demand from young consumers, Road to recovery: discussing policy change with ACI World, Grounded: how the aviation industry rallied to fight Covid-19, Q&A: sustainable aircraft recycling with NAAI Corporation, Aviation and wind farms: working together for a safer future. Their objective is the same: a … Artificial Intelligence (AI) has progressed rapidly and already has a significant presence in many industries including aviation, aerospace and defense. plane, The symposium brought together researchers and experts across academia and industry to discuss applied AI research and critical issues in machine learning. It covers the fundamentals, threats and opportunities of AI across the aviation industry. Artificial Intelligence has many uses in various industries like education, healthcare, automation, technology, etc. Decades later, AI and its subsets – machine learning and deep learning – are set to influence the future of many sectors, including aviation. In addition, better use of data will help increase and improve predictions with more sophisticated tools, while also boosting the scalability, efficiency and resilience of the current ATM system. Recently, Boeing was under intense scrutiny after its 737 Max Jet was involved in two deadly crashes. Seema Chopra and Ramsis Adam, both of Boeing, delivered presentations that illustrated the impacts of machine learning algorithms on human interaction and best practices for applying AI research, respectively. Not so fast, says Alan Boyle, aerospace industry expert and editor at GeekWire, who offered his insights on Boeing’s involvements with machine learning and AI. But when considering the implications of AI technology in the future of aviation, there are major players, power moves, and predictions that hint towards what's in store. “Boeing has voiced its commitment to augmenting, not replacing, humans in aircraft manufacturing and maintenance.” But, future mechanics will have to look forward to collaborating with machine co-workers. $ 168.2 billion humans are, after all, fallible and expensive technology all airlines might not able! The Covid-19 outbreak prompt a sustainability reset in aviation, but only one death due to commercial accidents. Also, AI is q… the global aviation industry has been growing exponentially in business and industry discuss... 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