Processors

The Microcontroller Market: Shifting Trends and Price Surges

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The revenue growth of the microcontroller market is defying the declines seen in the semiconductor industry. MCU Market Revenues moving beyond pandemic effects, but inflation remains a concern for 2023. Close competition […]

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University of Virginia Joins the BrainChip University AI Accelerator Program

Laguna Hills, Calif. – August 1, 2023 – 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, today announced that the University of Virginia has joined the BrainChip University AI Accelerator Program, ensuring that UVA students have the tools and resources

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The Processor Industry: Pioneering the Future of Semiconductor Technology

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The CPU and GPU markets have experienced a decline in consumer demand, while the progress of AI innovation and chiplet integration continues to advance. Consumer electronics demand faces challenges due to macro-economic

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AiM Future Successfully Closes Series A Round of Investment

News highlights: AiM Future secures multi-million dollars in new Series A funding. Round led by L&S Venture Capital, Hi Investment Partners, Daedeok Venture Partners and existing investors KB Investments and WE Ventures. New funds to help scale engineering and go-to-market teams in South Korea and the United States. Product will be available for purchase from

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Avnet Demonstration of the RZBoard V2L for Energy-efficient AI Acceleration with the Renesas RZ/V2L

Evan Stoddard, Advanced Applications Group Embedded Software Engineer at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Stoddard demonstrates Avnet’s RZ board for energy-efficient AI acceleration, featuring the Renesas RZ/V2L processor. In the demo, various AI/ML models are executed on the energy-efficient DRP-AI accelerator

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Avnet Demonstration of RASynBoard, a Low-power, Always-on, Edge AI Smart Sensor Module

Peter Fenn, Advanced Applications Group Director at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Fenn demonstrates why Avnet’s compact, embeddable RASynBoard module is an ideal solution for battery powered, edge-AI applications requiring always-on sound and sensor fusion processing. Based on the Syntiant NDP120

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Nota AI Demonstration of Machine Learning at the Edge on Arm Platforms with NetsPresso AutoML

Won Eui Hong, Research Engineer at Nota AI, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2023 Embedded Vision Summit. Specifically, Hong demonstrates how Nota AI’s NetsPresso AutoML solutions enable machine learning at the edge on Arm platforms. It is very critical to enable a vibrant machine

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Alif Semiconductor Demonstration of Battery-powered Embedded Vision with the Ethos-U55 and Arm’s Cortex-M55

Henrik Flodell, Senior Marketing Director at Alif Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2023 Embedded Vision Summit. Specifically, Flodell demonstrates battery-powered embedded vision and machine learning at the edge with Arm’s Cortex-M55 and Alif Semiconductor’s Ethos-U55. Machine learning at the edge is going to

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Analog Devices Demonstration of Its Microcontroller Product Line

Zafer Zamboglu, Senior Director for Tools, Software and Solutions at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Zamboglu demonstrates Analog Devices’ various microcontrollers (MCUs). Analog Devices’ MCUs can be used in many Internet of Things (IoT) processing applications. They allow analog and

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Analog Devices Demonstration of the MAX78002 AI Microcontroller with a Low-power CNN Accelerator

Mehmet Görkem Ülkar, Principal Engineer for AI and Software at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Ülkar demonstrates Analog Devices’ MAX78002 AI-optimized microcontroller. The MAX78002 is an advanced system-on-chip featuring an Arm Cortex-M4 with FPU CPU for efficient system control, along

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