Analog Devices

Faster Sensor Simulation for Robotics Training with Machine Learning Surrogates

Analog Devices, Blog Posts, Robotics, Sensors and Cameras, Tools /

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Training robots in the physical world is slow, expensive, and difficult to scale. Roboticists developing AI policies depend on high quality data—especially for complex tasks like picking up flexible objects or navigating cluttered environments. These tasks rely […]

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97% Smaller, Just as Smart: Scaling Down Networks with Structured Pruning

Algorithms & Models, Analog Devices, Blog Posts, Tools /

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Why Smaller Models Matter Shrinking AI models isn’t just a nice-to-have—it’s a necessity for bringing powerful, real-time intelligence to edge devices. Whether it’s smartphones, wearables, or embedded systems, these platforms operate with strict memory, compute, and

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Analog Devices Demonstration of the MAX78000 AI Microcontroller Performing Action Recognition

Analog Devices, Face Detection, Medical, Object Identification, Object Tracking, Processors, Summit 2024, Videos /

Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates the MAX78000 AI microcontroller performing action recognition using a temporal convolutional network (TCN). Using a TCN-based model, the MAX78000 accurately recognizes a

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Analog Devices Demonstration of the MAX78000 Microcontroller Enabling Edge AI in a Robotic Arm

Analog Devices, Processors, Robotics, Summit 2024, Videos /

Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates visual servoing in a robotic arm enabled by the MAX78000 AI microcontroller. The MAX78000 is an Arm-M4F microcontroller with a hardware-based convolutional

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Upcoming Webinar Explores the Role of GMSL2 Cameras in Autonomous Systems

Analog Devices, Automotive, e-con Systems, News, Processors, Robotics, Sensors and Cameras /

On Thursday, July 11, 2024 at 10:00 am PT (1:00 pm ET), Alliance Member companies e-con Systems and Analog Devices will co-deliver the free webinar “The Role of GMSL2 Cameras in Autonomous Systems – How It Enables Functional Safety.” From the event page: Get expert insights on GMSL2 technology, its functional safety benefits, applications in

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Analog Devices Demonstration of Its Microcontroller Product Line

Analog Devices, Processors, Summit 2023, Videos /

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

Analog Devices, Processors, Summit 2023, Videos /

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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Analog Devices Demonstration of the MAX 78000 AI Microcontroller with an Ultra-low-power CNN Accelerator

Analog Devices, Processors, Summit 2023, Videos /

Navdeep Dhanjal, Executive Business and Product Manager for AI Microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Dhanjal demonstrates Analog Devices’ MAX78000 AI-optimized microcontroller. The MAX78000 is an advanced system-on-chip featuring an Arm Cortex-M4 with FPU CPU for efficient system control,

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“Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator,” a Presentation from Analog Devices

Algorithms & Models, Analog Devices, Processors, Software, Summit 2023, Tools, Videos /

Gorkem Ulkar, Principal ML Engineer at Analog Devices, presents the “Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator” tutorial at the May 2023 Embedded Vision Summit. In this talk, Ulkar presents alternative and more efficient methods of processing raw camera images using neural network accelerators. He begins by introducing Analog Devices’ convolutional neural

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Analog Devices and Seeing Machines Work Together to Accelerate Safer Driving Through Sophisticated Advanced Driver Assistance Systems

Algorithms & Models, Analog Devices, Automotive, News, Sensors and Cameras, Software, Tools /

Jan 3 2023 – Wilmington, MA and Canberra, Australia – Analog Devices, Inc. (NASDAQ: ADI), a global semiconductor leader, and Seeing Machines (LSE:SEE), an advanced computer vision technology company that designs AI-powered operator monitoring systems to improve transport safety, announced a collaboration in support of high-performance driver and occupant monitoring system (DMS/OMS) technology. Long-haul driving

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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.

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

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