Designing hardware architectures for artificial intelligence acceleration (AI) at the edge is hard, especially for achieving the combination of high energy-efficiency and performance. The reason Edge AI is so difficult today, is that it’s really a systems challenge, with a heterogenous mixture of software, hardware processors and diverse applications. Codesigning a robust sy stem software stack that works across such heterogeneity, together with an efficient and scalable processor architecture is often neglected and poses a bigger challenge.
In this talk we will describe howEdgeCortix is bridging this software & hardware divide, going beyond theoretical performance metrics, with the combination of a robust compiler, scheduler, runtime engine, and a reconfigurable co-processor. Using edge AI use-case examples, this presentation will describe how the combination of our MERA™ software (framework) and first-generation SAKURA-AI™ co-processor achieves high efficiency, while also effectively hiding the hardware complexity, delivering a compelling solution tailored for the needs of todays edge AI application developers.
Sakyasingha Dasgupta
Dr. Sakyasingha Dasgupta is the founder and CEO of Edgecortix, Inc. He is an AI and machine learning technologist, entrepreneur and engineer with real-world experience in taking cutting edge research from ideation stage to scalable products. Having worked at global companies like Microsoft, IBM Research and national research labs like RIKEN and Max Planck Institute, in his more recent roles, he has helped establish and lead technology teams at lean startups in Japan and Singapore, in robotics & automation and Fintech sectors.
After spending more than a decade in research and development in diverse areas like, brain inspired computing, robotics, computer vision, hardware acceleration for AI, wearable devices, internet of things, machine learning in finance and healthcare, Sakya founded EdgeCortix, a deep-tech startup automating machine learning driven AI hardware & software co-design for an intelligent distributed edge ecosystem.
Sakyasingha recently took part in a webinar titled "Software, The Elephant in the Room for Edge AI Hardware Acceleration" - register for free to watch on-demand here