Jacques Gatard
- CEO & Co-Founder
- EMBRYA, France
Jacques Gatard is an experienced Aerospace Engineer, co-founder and CEO of EMBRYA.
He has graduated to the MSc in Physics/Acoustics from CNAM Paris and the Aerospace MBA from Toulouse Business School
His 35+ years long aerospace career started with ONERA, working in different domains (aeroacoustics research, wind tunnel test management, sales department) until 2011. Since then, Jacques has worked for different companies in the Avionics and Fintech domains as sales manager and VP sales.
During his career, he has overseen projects in many different domains, covering materials and structures, aerodynamics, optics and electromagnetism, thermodynamics and propulsion, embedded systems, AI/ML and avionics among others, from R&T to B2B sales.
In October 2023, together with Jean-Baptiste Chaudron, researcher at ISAE SUPAERO (#1 French Aerospace University), he founded EMBRYA, a company developing powerful, frugal and flexible chips for AI/ML based applications on embedded systems and beyond.
Sessions
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AI and ML in Testing
AI and ML have provided some great opportunities for assisting speed and quality of testing, when such large amounts of data require analysis, and highlighted the importance of a robust testing strategy for AI systems. While AI can effectively analyze and digest large datasets, ensuring the quality of the AI algorithm and the accuracy of its model is paramount. Factors such as avoiding biases, balancing accuracy with computational costs, and considering on-board processing limitations must be carefully addressed. How can AI assist when an aircraft is in flight, no longer ‘connected’? Qualifying an AI tool involves defining parameters, setting targets, and identifying patterns within the data. How can accuracy be achieve with several AI algorithms running concurrently?