This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Artificial intelligence is entering a new phase where models interpret contextual data whilst interacting with the physical world in real time. At Analog Devices, Inc. (ADI), we call this Physical Intelligence: intelligent systems that can perceive, reason […]
2026: The Year Intelligence Gets Physical Read More +
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
Faster Sensor Simulation for Robotics Training with Machine Learning Surrogates Read More +
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
97% Smaller, Just as Smart: Scaling Down Networks with Structured Pruning Read More +
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
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
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
Upcoming Webinar Explores the Role of GMSL2 Cameras in Autonomous Systems Read More +
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
Analog Devices Demonstration of Its Microcontroller Product Line Read More +
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
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,
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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