AI breakthroughs could predict aviation engine component degradation

 Breakthrough artificial intelligence (AI) technologies developed in Queensland can be very beneficial to both the health and aviation sectors.

 According to a recent press release, the AI technologies can help improve insulin dosing for diabetics as well as transform the way an aeroplane engine wear-and-tear is monitored.

 An alumnus of the University of Queensland, in Australia, who graduated with a Bachelor of Science (Hons) as well as a PhD in in Applied Mathematics, developed the technology and worked with others from the University to build real-world applications.

 One application they built made it to the top 10 of a global challenge for AI applications to solve humanity’s most pressing challenges. They were able to build a machine-intelligent artificial pancreas.

 Additionally, the health sector will gain from what the team is working on.

 They are using machine-learning technology in order to data mine the medical histories of diabetics and recommend insulin dosages.

 The technology can recommend the best insulin dosage to keep each individual patient’s blood glucose levels under control with unprecedented stability and safety.

 This will, thereby, allow for a better and more accurate treatment.

 Coming from the success of this project, the expertise of the University’s Mechanical Engineer and his research team is called to apply the same artificial intelligence to aviation turbine engines and their related systems.

 With the use of the breakthrough AI technology, the team was able to predict aviation engine component degradation, which allowed them to plan for services that will improve performance.

 It permits them to evolve the computational models of aviation engines as if they were organisms that the AI can explicitly explain, particularly with what it thinks is happening inside the engine.

 The University alumnus explained that the AI system learns by forcing mathematical models to evolve, which they do quite literally by using simulated chromosomes, to fit known information.

 To commercialize the engine work, a spin-off company was formed. The company graduated from the University’s start-up program that supports the early stages of start-up development.

 The Germinate program belongs to the University’s Ventures suite of entrepreneurial initiatives.

 This project, moreover, has allowed a PhD student as well as Engineering students to gain experience from a multi-disciplinary project with the industry.

 The team has already submitted the AI breakthrough to a competition and has already knocked out more than 600 teams from around the globe.

 This competition will be culminating with three finalists that are participating in the grand prize competition wherein the prize pool is a whopping $ 7.1 million.