NASHUA, N.H. - Military + Aerospace Electronics cordially invites you to our 2 p.m. (EDT) 30 October webinar to learn more about how a Modular Open Systems Approach (MOSA) enables graphics processing unit (GPU) artificial intelligence (AI) acceleration in embedded sensor systems, driving real-time decision-making in demanding environments. This event is sponsored by Elma Electronic in Fremont, Calif., and EIZO Rugged Solutions in Maitland, Fla.
When architecting a MOSA system optimized for GPU AI acceleration in embedded sensor systems, the integration of advanced hardware, software, and middleware is crucial. GPU-powered AI acceleration enables real-time data processing and decision-making, making it ideal for high-demand sensor-based applications. By leveraging modular hardware like high-performance GPGPUs, alongside flexible software and middleware frameworks, system engineers can create a future-proof platform that adapts to evolving AI workloads and mission requirements.
In this webinar, subject matter experts Ken Grob from Elma and Chris Fadeley from EIZO will discuss these challenges and demonstrate AI-based implementations that address the needs of mission requirements while meeting harsh conditions in which these systems are often deployed.
Grob is director of embedded technologies for Elma Electronic. He is responsible for driving the company's integrated platform solutions. He was the co-owner of a well-respected embedded sub-systems integration company.
Fadeley is the CTO at EIZO Rugged Solutions (ERS) and has a strong background in embedded software engineering. He leads all ERS initiatives in AI, Deep Learning, GPGPU processing, and optimization.