The demand for always-on Edge AI workloads is not going away. With the need for continuous processing creating a constant challenge, many system designers must compromise between responsiveness, accuracy, and battery life. To solve this challenge, Innatera has developed Pulsar, a brain-inspired solution enabling pattern recognition that alters how sensor data is processed.

On this episode of Embedded Insiders, we’re joined by Sumeet Kumar, a Co-founder and the CEO of Innatera Nanosystems, to discuss spiking neural networks. Specifically, how SNNs are powering AI systems today, and how neuromorphic computing architectures support the hardware-software co-design process. 

Watch the video of this segment here: https://www.youtube.com/watch?v=OgER60gjBIg

In a company press release, Innatera announced its Pulsar neuromorphic microcontroller earned Best-in-Show in the Microcontrollers, Microprocessors & IP category at COMPUTEX 2025 by Embedded Computing Design. The honor identifies Pulsar’s innovative utilization of Spiking Neural Networks (SNNs) to enable real-time, ultra-efficient edge AI.

Hello Embedded Engineers, Developers and Makers! Welcome to In Case You Missed it: Embedded Insights, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design.

All entries are judged using a 15-point rubric, that assesses design excellence, relative performance, and market impact/disruption. Judging is managed by the ECD Content Team.

It’s only about a month out from CES and we’re already seeing the impacts of some of the news that was dropped in Las Vegas at the biggest show in consumer electronics.