Microchip Technology Acquires Neuronix AI Labs

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CHANDLER, Ariz., April 22, 2024 — Microchip Technology, a provider of smart, connected, and secure embedded control solutions, has acquired Neuronix AI Labs. The acquisition expands Microchip's capabilities for power-efficient, AI-enabled edge solutions deployed on field programmable gate arrays (FPGAs). Neuronix AI Labs provides neural network sparsity optimization technology that enables a reduction in power, size, and calculations for image classification, object detection, and semantic segmentation applications.

Terms of the deal were not disclosed.

Specifically, Microchip said, the addition of Neuronix’s portfolio will enable development of cost-effective, large-scale edge deployments of components designed for use in computer-vision applications on systems with cost, size, and power constraints.

Microchip further expects that the combination of Neuronix AI IP and Microchip's existing compilers and software design kits will allow non-FPGA designers parallel processing capabilities using industry-standard AI frameworks without requiring in-depth knowledge of FPGA design flow. It also expects the acquisition to support the implementation of AI/machine learning algorithms on customizable FPGA logic without resistor-transition level expertise and upgrading convolutional neural networks without reprogram hardware.

Published: April 2024
computer vision
Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
The flat or angled surface, usually fine-ground, that limits the aperture of a lens or prism surface.
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