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
Sakya is the founder and Chief Executive officer of EdgeCortix. He is an artificial intelligence (AI) and machine learning technologist, entrepreneur, and engineer with over a decade of experience in taking cutting edge AI research from ideation stage to scalable products, across different industry verticals. He has lead teams at global companies like Microsoft and IBM Research / IBM Japan, along with national research labs like RIKEN Japan and the Max Planck Institute Germany. Previously, he helped establish and lead the technology division at lean startups in Japan and Singapore, in semiconductor technology, robotics and Fintech sectors. Sakya is the inventor of over 20 patents and has published widely on machine learning and AI with over 1,000 citations.
Sakya holds a PhD. in Physics of Complex Systems from the Max Planck Institute in Germany, along with Masters in Artificial Intelligence from The University of Edinburgh and a Bachelors of Computer Engineering. Prior to founding EdgeCortix he completed his entrepreneurship studies from the MIT Sloan School of Management.