Secondmind licenses active learning platform to Mazda to increase powertrain design and development efficiency and accelerate development of cleaner vehiclesMazda expects 50% reduction in engine calibration time with intelligent automated experimentation powered by Secondmind Active LearningSecondmind today announced that Mazda Motor Corporation has signed a multi-year agreement to license Secondmind Active Learning for Powertrain to increase engine calibration efficiency, and to help manage the increasing complexity of powertrain design and development. Mazda is initially using Secondmind to calibrate ECUs that control the company’s next-generation SKYACTIV engine technology and expects Secondmind advanced machine learning to more than double the efficiency of its conventional engine calibration process. Backed by more than six years of practical machine learning research and development, Secondmind Active Learning for Powertrain offers state-of-the-art machine learning models based on noisy, high-dimensional data, and enables rapid, automated, and intelligent experimentation. Gary Brotman, CEO of Secondmind, said: “Mazda is a leader in model-based design and a pioneer in the adoption and successful implementation of advanced machine learning. We will utilise Secondmind machine learning technologies to help us evolve MBD and develop more efficiently.