by Elsie Clark | Sep 10, 2025 | AI & ML, Innovation
A new strategic partnership between Adacel Technologies and Smart Eye will enhance the MaxSim air traffic control (ATC) simulation platform. MaxSim currently provides the Federal Aviation Authority (FAA), Air Force, and U.S. Army with controller training across a variety of scenarios.
Through integration with Smart Eye’s artificial intelligence (AI) programme, MaxSim will monitor trainee controllers’ eye movements and attention patterns during simulation exercises. This will allow instructors to analyse objective, quantifiable data on the trainees’ development, ultimately improving learning and preparedness.
Adacel vice president Michael Saunders commented:
Partnering with Smart Eye now brings advanced eye-tracking analytics into MaxSim, giving instructors unprecedented insight into attention, decision-making, and situational awareness—further enhancing safety and training effectiveness.
As well as ATC training, the sophisticated human performance analytics system has the potential to roll out across other aviation training in due course.
Improved training critical to planned ATC upgrades
The Adacel/Smart Eye partnership comes as the US begins a major overhaul of its ATC system. Department of Transportation Secretary Sean Duffy announced the plans in May 2025, and recently stated that the upgrade could cost US$31.5 billion.
Training new air traffic controllers is essential to these development plans. The FAA ended 2024 with around 3,900 controllers short of targets, but the ensuing recruitment drive has left instructors overworked. Adacel and Smart Eye’s new partnership will provide data that not only enhances ATC training programmes, but reduces the burden on instructors to evaluate performance.
Join us at Aerospace Tech Week 2026 to discuss the future of air traffic control, technology, and connectivity.
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by Elsie Clark | Sep 8, 2025 | AI & ML, Innovation, Video
From predictive analytics to enhanced scheduling, the aerospace industry now collect more data then ever. But how can Chief Information Officers (CIOs) across the industry leverage that data effectively?
At Aerospace Tech Week 2025, we tapped the expertise of Lauren Edwards, Head of Aerospace and Airlines Practise, from consulting firm Point B. She highlights several priorities for CIOs, including ensuring compatibility between legacy systems and new artificial intelligence (AI) software.
A lot of conversations we’re having are how do we continue to move towards the future while managing and maintaining the information that we have today.
Getting different data systems to ‘talk’ to each other, all while ensuring data cleanliness, presents a challenge for the industry. But when done effectively, the outcomes can be game-changing for customer experience. At the same time, as the workforce ages and workflows incorporate more technology, employees can see significant value too.
We really focus on understanding, and we see the most ROI when your customer experience and your employee experience come together.
🎥 Watch the full interview below to hear more from Lauren on the data landscape for aerospace in the years ahead.
Questions asked include:
- What are the priorities for CIOs in data and privacy in 2025?
- How are data improvements boosting the bottom line for companies?
- What are the major challenges in the landscape?
- What are the untapped benefits of effectively leveraging data and analytics?
Join us at Aerospace Tech Week 2026 to discuss further how data is changing aviation, engineering, and MRO.
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by Elsie Clark | Sep 3, 2025 | AI & ML, Connectivity, Innovation
Researchers at Embry-Riddle Aeronautical University have pioneered a new artificial intelligence (AI) system for transcribing aviation radio.
In the University’s dedicated Speech and Language AI Lab, the expert team have developed a voice-to-text system for use between pilots and controllers. Radio messaging has so far remained dependent on legacy technology. However, the Embry-Riddle project demonstrates how AI can be used to make communication in aerospace more effective and efficient. The team set out to produce a system that was aviation-specific and could transcribe technical messages accurately.
Andrew Schneider, an assistant professor in the College of Aviation and director of the Speech and Language AI Lab, noted:
Aviation English isn’t standard conversational grammar — it’s a condensed, highly specific phraseology spoken over a noisy radio where words get clipped and specialised jargon abound.
Their research found that radio communications from 12 US airports processed by generic automated speech recognition tools, such as OpenAI’s Whisper, resulted in an 80% word error rate. But Embry-Riddle’s specialised AI system can recognise acronyms and specific aviation-related phrases to produce significantly more accurate transcripts. This will help identify and prevent miscommunication, as well as improve student pilot training.
Kristy Kiernan, associate director of Embry-Riddle’s Boeing Center for Aviation and Aerospace Safety, added:
In aviation, we have done a great job with using numerical data, but until now we haven’t had the tools to use qualitative data at the same scale. Large language models can open up whole new data sources that we can leverage to improve safety. That’s really exciting
In the future, Schneider and his research partner, Dr Jianhua Liu, want to develop the AI system into a smart co-pilot that can flag inconsistencies between verbal instructions and aircraft behaviour as they happen. This will improve the situational awareness of aircraft. Given that seven of the 20 deadliest aviation accidents were the result of communication errors, technological improvements in this area are essential for enhancing safety.
Join us at Aerospace Tech Week 2026, where we’ll be discussing how the aviation industry can advance connectivity and communications.
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by Elsie Clark | Sep 3, 2025 | AI & ML, Innovation, Video
Artificial intelligence (AI) for aviation is forecast to be a $4.96 billion by 2030 — and infrastructure is set to be the largest solution segment.
At Aerospace Tech Week 2025, we sat down with Tahsin Istanbullu, Executive Vice President – Technical at Pegasus Airlines, to tap his insights on aviation’s ongoing tech transformation.
Pegasus, a low-cost carrier (LCC) based in Türkiye, operates 37 domestic and 109 international routes. Aiming to become Türkiye’s most on-time airline, adopting tech is key to optimising its operational and maintenance processes.
Everyone is talking about AI, which maybe two years ago people weren’t hearing about. Now everyone is trying to find the right way to use it.
Amid this innovation boom, the range of solutions on offer can be overwhelming. In our exclusive interview, Istanbullu emphasises the importance of planning when integrating new tech.
I think the first challenge is to decide where to start, because the potential [of technology] is huge and promises so much, but you have limited resources.
As well as discussing how AI is reducing downtime and unscheduled maintenance, Istanbullu makes predictions on how he thinks the industry will transform over the next decade. With supply chains continuing to fracture, predictive analytics and maintenance could become essential tools in the aviation industry’s arsenal.
I think in ten years’ time, everybody will be using AI.
🎥 Watch the full interview to hear more about Istanbullu’s predictions for the future of aviation.
Questions asked include:
- How do you see emerging technology reducing aircraft downtime, particularly as the industry struggles with supply chain challenges?
- Are there any specific technologies that you think have the greatest potential?
- What would you identify as the main challenges of innovative tech adoption in the industry?
- Ten years in the future, how will airlines approach fleet maintenance and technical operations differently?
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by Jessica Brownlow | Jul 22, 2025 | AI & ML, Avionics, Video
As the aviation industry undergoes a digital transformation, AI and multi-core processing are no longer distant concepts – they’re taking off.
At Aerospace Tech Week, we spoke with Richard Richard Jaenicke, Director of Marketing at Green Hills Software, about the progress, challenges, and future of avionics systems.
“It was about four years ago that we got the first multi-core TSO for avionics… Now, with Airbus and Collins Aerospace joining in, we can say that multi-core has really taken hold.”
Jaenicke highlights two major shifts in the avionics landscape over the past 12 months:
- A growing wave of multi-core certifications
- The emerging role of artificial intelligence and autonomy, especially in experimental and military aircraft
But as he points out, AI brings complexity and risk.
“You end up with a pile of weighted weights… you can’t really validate that they came from the requirements or that they implement them.”
Watch the full interview to hear how Green Hills Software is helping shape the future of safe, certifiable AI in aviation.
Questions asked include:
- How has the avionics landscape progressed in the last 12 months?
- What are the key challenges in using AI/ML in avionics systems?
- How can we ensure the safety and security of AI in flight-critical systems?
- What are some near-term applications of AI in commercial or defense aviation?
- What brings Green Hills Software to Aerospace Tech Week, and how does it support
- innovation?
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by Jessica Brownlow | Jul 14, 2025 | AI & ML, Innovation, Video
As the industry accelerates its digital evolution, Lufthansa Systems is positioning artificial intelligence (AI) and cloud technology at the core of it’s strategy. At Aerospace Tech Week, Stefanie Neumann, CEO of Lufthansa Systems outlined the company’s tech outlook stating:
“Our strategy is about transforming of the industry, not more, not less. And with that I mean we want to really increase the optimisation capabilities that AI can offer to all of us and make sure that this supports the growing scale that we are all observing.”
The conversation looked in more detail at Lufthansa Systems’ strategic investment in technologies with a view to driving optimisation. Given air traffic is due to double by 2045 and the industry must navigate scarce resources, efficiency and optimisation are essential drivers of progress. Lufthansa Systems is already applying AI in operations and maintenance and is calling on more players across the industry to unlock shared value.
Supporting this, Neumann also emphasised the importance of collaboration across the ecosystem through global partnerships. The goal is to tap into diverse talent pools and foster cross-border innovation.
To learn more watch the full interview below. To hear live from industry experts join us at Aerospace Tech Week 2026 in April!
Questions asked include:
- Where are we seeing the highest levels of investment in aerospace’s digital landscape?
- You recently announced a number of large partnerships. How are these pioneering change in the industry?
- How would you describe Lufthansa Systems’ strategy for the coming 12 months?
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