The collaboration is set against the backdrop of a pivotal moment in aviation history. Until now, machine learning (ML) based safety-critical applications have not been incorporated into the cockpit of civil aviation aircraft, marking this venture as a significant step towards a paradigm shift in aviation technology.
Xwing and Daedalean are aligning their efforts closely with regulatory bodies, namely the Federal Aviation Administration (FAA) and the European Union Aviation and Safety Agency (EASA). These collaborations are crucial, as the regulatory landscape is still evolving to accommodate machine learning within its design assurance processes and adjust standards accordingly.
Luuk van Dijk, co-founder and CEO of Daedalean, emphasizes the importance of this collaboration: "In this emerging industry, it's as crucial to collaborate with fellow pioneers as it is to partner with regulators around the world." He adds that this joint effort will demonstrate how increasing safety is a driving force behind innovation and that a unified approach to harmonizing regulations and standards is key to ensuring the adoption of best practices universally.
This partnership is not just about theoretical advances. Both companies have a commendable track record of publishing industry-leading papers that address certification approaches. For example, Xwing's 'Formal and Practical Elements for the Certification of Machine Learning Systems' and Daedalean's 'Concepts of Design Assurance for Neural Networks' series have been influential. The collaboration is poised to offer regulators an opportunity to leverage these aligned approaches, fostering progress towards establishing an acceptable means of compliance.
Maxime Gariel, President and CTO of Xwing, highlights their commitment: "At Xwing, we balance our commitment to a strong safety culture with our push for technical innovation." He notes the importance of the collaboration with Daedalean in sharing data, knowledge, and processes, which he believes is vital to forming a credible path towards industry-wide certification as they work closely with regulators.
The partnership is a natural progression for both companies, who have independently developed frameworks for certifying AI-based systems in aviation. By pooling their knowledge and relevant flight data, they aim to achieve higher safety levels in a shorter timeframe.
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