Engineering Intelligence Under 10 Watts: Power-Efficient Design for Edge AI Systems

This presentation was part of EE Times AI Everywhere 2025 Conference.

Featured Speakers:

• Sumit Vishwakarma, Director of Strategic Marketing, Synopsys
• Srivi Dhruvanarayan, VP, Hardware Engineering, SiMa.ai

Why You Should Watch On-Demand:

• Learn About Energy Efficiency: Discover how energy efficiency is critical for edge AI systems, particularly in applications like robotics and autonomous vehicles that operate under strict power limits.

• Explore Innovative Solutions: Gain insights into Synopsys and SiMa.ai's advancements in power-efficient chip design, focusing on achieving high performance under 10 watts.

• Understand Early Power Planning: Learn about early power planning and architectural optimization that can deliver up to 50% energy savings, compared to minimal gains when addressed later. By combining low-power IP, AI-driven RTL-to-emulation tools designers can now identify and reduce power much earlier in development.

• See Practical Applications: Learn how SiMa.ai’s MLSoC platform enables real-time computer vision and generative inference, paving the way for advanced robotics and automotive solutions.