Two technologies seem to be barreling ahead at a rapid pace, and there is likely a convergence coming shortly, if it hasn’t already occurred. I’m referring to space travel and artificial intelligence. But in my limited knowledge, there appears to be a disconnect in this marriage, whereby how could AI make decisions on something it’s never encountered before? 

To boost my limited knowledge, I invited Sakya Dasgupta, the Founder and CEO, EdgeCortix, to be my guest on this week’s Embedded Executives podcast. He has experience in this space (pun intended) and we discussed what’s happening today and what we can expect in the near future.

The way humans interact with technology is changing both in how we use it at work to how we use it in our daily lives. Edge AI is a unique aspect of technology that is revolutionary because it is bringing the power of artificial intelligence (AI) closer to the source of data generation. Combining the power of edge computing and artificial intelligence, AI algorithms can be executed locally on hardware devices using data collected and processed right at the edge, leading to much higher energy efficiency and shorter processing times (lower latency).

Tokyo, Japan — EdgeCortix^® Inc. unveiled its next-generation SAKURA-II Edge AI accelerator. Paired with the company's second-generation Dynamic Neural Accelerator (DNA) architecture, SAKURA-II helps users manage Large Language Models (LLMs), Large Vision Models (LVMs), and multi-modal transformer-based applications.

In a rare move, I had two guests join me for this week’s Embedded Executives podcast, but for a good reason. I was joined by Mohammed Dogar, Vice President and Head of Global Business Development and Ecosystem at Renesas Electronics, and Sakya Dasgupta, Founder and CEO of EdgeCortix.