Microchip Technology Inc. is a leading provider of smart, connected and secure embedded control solutions. Its easy-to-use development tools and comprehensive product portfolio enable customers to create optimal designs which reduce risk while lowering total system cost and time to market. The company’s solutions serve more than 125,000 customers across the industrial, automotive, consumer, aerospace and defense, communications and computing markets. Headquartered in Chandler, Arizona, Microchip offers outstanding technical support along with dependable delivery and quality.
Microchip Technology
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Microchip to Accelerate Real-time Edge AI with NVIDIA Holoscan
November 14, 2024
PolarFire® FPGA Ethernet Sensor Bridge provides low-power multi-sensor bridging to NVIDIA edge AI platforms CHANDLER, Ariz., November 14, 2024 — To enable developers building artificial intelligence (AI)-driven sensor processing systems, Microchip Technology (Nasdaq: MCHP) has released its PolarFire® FPGA Ethernet Sensor Bridge that works with the NVIDIA Holoscan sensor processing platform. PolarFire FPGAs enable multi-protocol […]
Alliance Members at 2025 CES
November 12, 2024
The Edge AI and Vision Alliance 2025 CES Directory for game-changing computer vision and AI technologies Many Alliance Member companies will be showing off the latest building-block technologies that enable new capabilities for machines that see! CES is huge so we’ve created a handy checklist of these companies and where to find them including how […]
Microchip Expands 64-bit Portfolio with High-performance, Post-quantum Security-enabled PIC64HX Microprocessors
October 21, 2024
The RISC-V-based MPUs support mission-critical intelligent edge applications with TSN Ethernet switching and AI capabilities CHANDLER, Ariz., October 21, 2024 — The global edge computing market is expected to grow by more than 30 percent in the next five years, serving mission-critical applications in the aerospace, defense, military, industrial and medical sectors. To meet this increasing […]
Microchip Technology Inc. Demonstration of a Smart Door Lock Using Facial Recognition
August 6, 2024
Nav Gupta, FPGA Application Engineer at Microchip Technology Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Gupta demonstrates harnessing the power and thermal efficiency of the PolarFire SoC to develop low-power inferencing solutions. This demo showcases the versatility of the SoC with facial detection […]
Microchip Technology Inc. Demonstration of Low-power Facial Recognition Using the PolarFire SoC
Swapna Gurumani, Senior Arm Applications Engineer at Microchip Technology Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Gurumani demonstrates her company’s SAMA7G54 MPU running facial recognition backed by TensorFlow Lite. When a person whose face is already enrolled presses a button, the smart door […]
Microchip Technology Expands Processing Portfolio to Include Multi-core 64-bit Microprocessors
July 9, 2024
PIC64GX MPU is the first of several product lines planned for Microchip’s PIC64 portfolio CHANDLER, Ariz., July 9, 2024—Real-time, compute intensive applications such as smart embedded vision and Machine Learning (ML) are pushing the boundaries of embedded processing requirements, demanding more power-efficiency, hardware-level security and high reliability at the edge. With the launch of its […]
Navigating the Future: How Avnet is Addressing Challenges in AMR Design
April 30, 2024
This blog post was originally published at Avnet’s website. It is reprinted here with the permission of Avnet. Autonomous mobile robots (AMRs) are revolutionizing industries such as manufacturing, logistics, agriculture, and healthcare by performing tasks that are too dangerous, tedious, or costly for humans. AMRs can navigate complex and dynamic environments, communicate with other devices […]
Microchip Technology Acquires Neuronix AI Labs
April 16, 2024
Innovative technology enhances AI-enabled intelligent edge solutions and increases neural networking capabilities CHANDLER, Ariz., April 15, 2024 — Microchip Technology (Nasdaq: MCHP) has acquired Neuronix AI Labs to expand its 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 […]
BrainChip to Unveil Akida Neuromorphic Processor Enabled by Microchip’s 32-bit MPU at CES 2024
January 3, 2024
Integrated solution demonstrates always-on machine learning tasks including keyword spotting and visual wake words Laguna Hills, Calif. – January 3, 2024 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, will demonstrate how BrainChip’s Akida™ neuromorphic processor enables low-power, high-performance learning applications […]
New 1 GHz SAMA7G54 is the First Single-Core MPU with MIPI CSI-2 Camera Interface and Advanced Audio Features
May 24, 2022
Based on Arm® Cortex®-A7 processor, Microchip’s new MPU combines high performance with low power consumption CHANDLER, Ariz., May 24, 2022 — The embedded market has a need for higher performing, yet lower power artificial intelligence (AI) solutions that can be deployed at the edge, where power consumption is often at a premium. AI solutions often […]
Microchip Technology Demonstration of Its VectorBlox Software Development Kits and PolarFire FPGAs for Artificial Intelligence and Machine Learning
December 14, 2021
Avery Williams, Technical Marketing Engineer at Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Williams demonstrates the company’s VectorBlox software development kits and PolarFire FPGAs for artificial intelligence and machine learning. Williams demonstrates the steps required to quickly get started with evaluating artificial […]
Microchip Adds Second Development Tool Offering for Designers Using Its Low-Power PolarFire RISC-V SoC FPGA for Embedded Vision Applications at the Edge
November 23, 2021
Platform extends customer options for designing secure and reliable systems in applications ranging from neural network inferencing to Industrial Internet of Things (IIoT) and factory automation CHANDLER, Ariz., Nov. 23, 2021 – Microchip Technology (Nasdaq: MCHP) today announced the second development tool offering in its Smart Embedded Vision initiative for designers using its PolarFire® RISC-V […]
Free Webinar Explores Enabling Small Form Factor, Anti-tamper, High-reliability, Fanless AI and ML
February 3, 2021
On March 25, 2021 at 9 am PT (noon ET), Diptesh Nandi, Product Marketing Manager in the FPGA Business Unit at Microchip Technology, will present the free half-hour webinar “Enabling Small Form Factor, Anti-tamper, High-reliability, Fanless Artificial Intelligence and Machine Learning,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event […]
Microchip Partners with Machine-Learning (ML) Software Leaders to Simplify AI-at-the-Edge Design Using its 32-Bit MCUs
September 15, 2020
Cartesiam, Edge Impulse and Motion Gestures integrate their machine-learning (ML) offerings into Microchip’s MPLAB X Integrated Development Environment CHANDLER, Ariz., September 15, 2020 – Microchip Technology (Nasdaq: MCHP) today announced it has partnered with Cartesiam, Edge Impulse and Motion Gestures to simplify ML implementation at the edge using the company’s ARM Cortex based 32-bit micro-controllers […]
Microchip Announces High-Speed CoaXPress 2.0 Devices that Speed Machine Vision Image Capture While Simplifying System Design and Deployment
August 18, 2020
Builds on company’s work with industry standards bodies and lead customers who are using the devices to create capture cards and cameras supporting the new specifications CHANDLER, Ariz., Aug. 18, 2020 — Until the 12.5Gbps CoaXPress® 2.0 interface standard was ratified last year, machine-vision image-capture solutions had replaced conveyor belts as the primary roadblock to achieving […]
