Summit

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 […]

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

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

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

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

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

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

Analog Devices Demonstration of Its Microcontroller Product Line Read More +

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

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

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

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,

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

Edge Impulse Demonstration of FOMO: Constrained Object Detection on Embedded Devices

Shawn Hymel, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Hymel demonstrates (“Faster Objects, More Objects”), a novel machine learning algorithm that brings object detection to highly constrained devices. FOMO lets you count objects, find the location of

Edge Impulse Demonstration of FOMO: Constrained Object Detection on Embedded Devices Read More +

Edge Impulse Demonstration of Predictive Maintenance Using BrickML

Shawn Hymel, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Hymel demonstrates BrickML, a reference design for a tool that can monitor and measure machine health, using machine learning to detect anomalies and predicting when maintenance is needed.

Edge Impulse Demonstration of Predictive Maintenance Using BrickML Read More +

DEEPX Demonstration of Empowering Smart Camera and Robotics Applications with Edge AI Chip Technology

Tim Park, director of strategic marketing for DEEPX, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Park demonstrates how DEEPX’s edge AI chips enhance AI capabilities in existing product designs. In one of the demos, Park shows the simultaneous operation of multiple AI models. Explore

DEEPX Demonstration of Empowering Smart Camera and Robotics Applications with Edge AI Chip Technology Read More +

DEEPX Demonstration of Revolutionizing Automotive and Smart City Applications with Edge AI Technology

Tim Park, director of strategic marketing for DEEPX, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Park demonstrates real-time applications of DEEPX’s edge AI chip technology in the automotive and smart city sectors. Park shows how DEEPX’s low power, high performance AI technology enhances driving

DEEPX Demonstration of Revolutionizing Automotive and Smart City Applications with Edge AI Technology 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.

Contact

Address

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

Phone
Phone: +1 (925) 954-1411
Scroll to Top