Microchip Technology

“Speeding Time to Market with Production-Ready Edge AI Solutions: From Wake Word Detection to Face Recognition,” a Presentation from Microchip Technology

Nick De Rosa, Kannan Srinivasagam, Edge AI Marketing Manager at Microchip Technology presents “Speeding Time to Market with Production-Ready Edge AI Solutions: From Wake Word Detection to Face Recognition” at the May 2026 Embedded Vision Summit. Design teams are moving from edge AI evaluation to deployment and need production-ready, system-level… “Speeding Time to Market with […]

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Building High-Performance Data Paths: New Evaluation Platforms for AI and Vision Systems

Bringing AI and vision designs to life starts with reliable data movement. Learn how our latest evaluation kits help engineers prototype imaging and networking paths early, reduce design risk and move from concept to working system faster.   Microchip released two evaluation platforms designed to help developers prototype and benchmark data-intensive systems much earlier in

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Lightweight Keyword Spotting Solution from Microchip

Microchip presents a customizable, target-agnostic solution to program wake words and voice commands. The ML model, generated and tested using a custom application, has low latency and a minimal memory footprint, making it ideal for resource-constrained embedded systems. The ML model can be integrated into voice-based applications running on any 32-bit microcontroller or microprocessor running

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Production-Ready, Full-Stack Edge AI Solutions Turn Microchip’s MCUs and MPUs Into Catalysts for Intelligent Real-Time Decision-Making

Chandler, Ariz., February 10, 2026 — A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in today’s industrial, automotive, data center and consumer Internet of Things (IoT) networks. Microchip Technology (Nasdaq: MCHP) has extended its edge AI offering

Production-Ready, Full-Stack Edge AI Solutions Turn Microchip’s MCUs and MPUs Into Catalysts for Intelligent Real-Time Decision-Making Read More +

Microchip Expands PolarFire FPGA Smart Embedded Video Ecosystem with New SDI IP Cores and Quad CoaXPress Bridge Kit

Solution stacks deliver broadcast-quality video, SLVS-EC to CoaXPress bridging and ultra-low power operation for next-generation medical, industrial and robotic vision applications   CHANDLER, Ariz., January 19, 2025 —Microchip Technology (Nasdaq: MCHP) has expanded its PolarFire® FPGA smart embedded video ecosystem to support developers who need reliable, low-power, high-bandwidth video connectivity. The embedded vision solution stacks combine hardware evaluation kits, development

Microchip Expands PolarFire FPGA Smart Embedded Video Ecosystem with New SDI IP Cores and Quad CoaXPress Bridge Kit Read More +

Microchip Technology Unveils Model Context Protocol (MCP) Server to Power AI-Driven Product Data Access

Server enables access to trusted product information across AI platforms to simplify workflows, accelerate design and boost productivity CHANDLER, Ariz., November 6, 2025 — Further demonstrating its commitment to developing AI-enabled solutions for embedded engineers, Microchip Technology (Nasdaq: MCHP) has announced the launch of its Model Context Protocol (MCP) Server. An AI interface, the MCP Server connects directly with

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Microchip Technology Demonstration of Real-time Object and Facial Recognition with Edge AI Platforms

Swapna Guramani, Applications Engineer for Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Guramani demonstrates her company’s latest AI/ML capabilities in action: real-time object recognition using the SAMA7G54 32-bit MPU running Edge Impulse’s FOMO model, and facial recognition powered by TensorFlow Lite’s Mobile

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Microchip Technology Demonstration of AI-powered Face ID on the Polarfire SoC FPGA Using the Vectorblox SDK

Avery Williams, Channel Marketing Manager for Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Williams demonstrates ultra-efficient AI-powered facial recognition on Microchip’s PolarFire SoC FPGA using the VectorBlox Accelerator SDK. Pre-trained neural networks are quantized to INT8 and compiled to run directly on

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Unlocking the Power of Edge AI With Microchip Technology

This blog post was originally published at Microchip Technology’s website. It is reprinted here with the permission of Microchip Technology. From the factory floor to the operating room, edge AI is changing everything. Here’s how Microchip is helping developers bring real-time intelligence to the world’s most power-constrained devices. Not long ago, Artificial Intelligence (AI) lived

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Microchip Expands Connectivity, Storage and Compute Portfolios to Meet the Growing Demands of AI Data Center Applications

Company delivers an innovative, secure and scalable ecosystem to support modern servers CHANDLER, Ariz., April 28, 2025 — The rapid growth of artificial intelligence (AI) is transforming data centers, creating an unprecedented demand for high-performance, secure, reliable and innovative solutions. Microchip Technology (Nasdaq: MCHP) is addressing these evolving market needs by developing advanced technologies for data center

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
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