This exclusive webinar takes attendees inside the architect’s mind, providing insights into how edge devices can be optimized for power consumption, thermal profiling, and AI algorithm validation.
This webinar will be led by Axel Kleinitz , a renowned System Architect from Renesas Electronics, and Prabrit Bandyopadhyay, a Hardware Research and Development Engineer from Tenxer Labs. Through this session, attendees will be guided through the intricacies of edge devices, the RZ/V2L’s capabilities, and how LiveBench platform accelerates IC adoption.
This webinar is perfect for:
Stay ahead of the curve by learning from experts with decades of industry experience. This webinar will provide you with a practical understanding of edge devices and how to harness the power of Renesas RZ/V2L to build smarter, more efficient systems. You’ll also discover how to accelerate your product’s time to market with LiveBench platform.
Axel Kleinitz,
System Architect at Renesas Electronics
Axel Kleinitz is a seasoned System Architect with over 28 years of industry experience in electronics and industrial engineering. He holds a Master of Science in Electronics Engineering and a PhD in Industrial Engineering. Since joining Renesas in 2019 as part of the Systems & Solutions Team in Europe, Axel has specialized in analog and mixed-signal products, ultrasonic flow metrology, portable power solutions, low-power RF, and system architecture. His deep technical expertise and innovative approach to system design have made him a key figure in advancing edge computing technologies at Renesas.
Prabrit Bandyopadhyay,
Hardware Research and Development Engineer at TenXer Labs
Prabrit Bandyopadhyay is a seasoned professional with expertise in Electrical and Electronics Engineering, Machine Learning, and Embedded System Design. Holding an M.Tech in Mechatronics from NITTTR, Kolkata, he boasts over a decade of experience in both academia and industry. Currently serving as a Hardware Research and Development Engineer at Tenxer Labs India Pvt. Ltd., Prabrit specializes in Embedded Systems, Machine Learning, Edge AI, and Power Electronics, reflecting his diverse skill set and multidisciplinary proficiency.