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Supergate Showcases its New Deep-Learning Microcontroller

Written by Stephen Vicinanza

Supergate showcases its new deep-learning microcontroller. The Supergate Deep-Learning Microcontroller (DMC) is using AiM Future’s NeuroMosAIc Processor IP. The system was demonstrated at the Embedded Vision Summit.

The ultra-low power solution for object detection in consumer electronics. The company is saying the DMC is ideal for a number of solutions and applications, including home consumer electronics, robotics, smart toys, and the artificial intelligence of things (AIoT).

Supergate has also announced it has licensed te NMP-300 processor from AiM Future. The processor is the smallest product in the NeuralMosAIc Processor family. It is optimized to enable ultra-low-power microcontrollers for intelligent sensors and control systems.

“Our customers continue to redefine consumer expectations by delivering advanced interactive devices which stretch the imagination”, says Seungpil Shim, Chief Executive Officer of Supergate. “AiM Future has proven to be a strategic partner in enabling the DMC to address intelligent end-device applications made possible by its NeuroMosAIc Processor technology. The DMC introduces a new level of on-device AI capability previously unseen at the cost and power constraints of smart AIoT.”

The DMC is a 32-bit RISC-V-based Microcontroller for low-cost, AI inference applications. The DMC integrates the highly optimized NMP-300 for Neural networks in general and Convolutional Neural Networks in particular.

The system is best suited for Tiny Machine Learning (TinyML) and Artificial Intelligence of Things (AIoT) applications. This combination of AIoT and TinyML provides a platform for the development of intelligent, connected devices that can perform complex tasks with a minimum of power consumption.

The NMP-300 is a complement to the machine learning applications the DMC works with. Such applications as ultra-low power, far-edge devices such as wearables, and environmental and image sensors. It offers 0.5 TOPS while consuming microwatts on the common at-sensor applications.

To find out more about the Deep-learning Microcontroller and the NMP-300 visit the Supergate website at the link below.

Supergate |

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For the past 8 years, I have been writing about embedded technologies, added to my technical, academic, and medical editorial experience, with companies like Elsevier and Cambridge University Press. I tell people to read what I write, not try to pronounce my last name. I am always available for comments and suggestions you can reach me at and I promise I will take the time to reach back out to you. I live in the North East with my wonderful family.

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Supergate Showcases its New Deep-Learning Microcontroller

by Stephen Vicinanza time to read: 1 min