Microchip Technology

Microchip Expands 64-bit Portfolio with High-performance, Post-quantum Security-enabled PIC64HX Microprocessors

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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 […]

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Microchip Technology Inc. Demonstration of a Smart Door Lock Using Facial Recognition

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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

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Microchip Technology Inc. Demonstration of Low-power Facial Recognition Using the PolarFire SoC

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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

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Microchip Technology Expands Processing Portfolio to Include Multi-core 64-bit Microprocessors

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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

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Navigating the Future: How Avnet is Addressing Challenges in AMR Design

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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

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Microchip Technology Acquires Neuronix AI Labs

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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

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BrainChip to Unveil Akida Neuromorphic Processor Enabled by Microchip’s 32-bit MPU at CES 2024

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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

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New 1 GHz SAMA7G54 is the First Single-Core MPU with MIPI CSI-2 Camera Interface and Advanced Audio Features

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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

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Microchip Technology Demonstration of Its VectorBlox Software Development Kits and PolarFire FPGAs for Artificial Intelligence and Machine Learning

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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

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Microchip Adds Second Development Tool Offering for Designers Using Its Low-Power PolarFire RISC-V SoC FPGA for Embedded Vision Applications at the Edge

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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

Microchip Adds Second Development Tool Offering for Designers Using Its Low-Power PolarFire RISC-V SoC FPGA for Embedded Vision Applications at the Edge Read More +

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.

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

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Phone: +1 (925) 954-1411
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