Summit 2023

Cadence Demonstration of Tensilica DSPs’ Vision and AI Capabilities for Industrial Products

David Bell, Product Marketing Director for Tensilica AI IP products at Cadence, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Bell demonstrates the vision and AI capabilities of Tensilica DSPs for industrial products, in the process also answering the question of whether a tomato is […]

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BrainChip Demonstration of Sensor-agnostic, Event-based, Untethered Edge AI Inference and Learning

Nandan Nayampally, Chief Marketing Officer and Head of Product at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Nayampally demonstrates the value propositions of BrainChip’s Akida platform. The Akida platform provides efficient AI edge processing, easily integrated fully digital IP, and a full stack

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BrainChip Demonstration of Vision and Edge Learning Solutions for Event- and Frame-based Cameras

Nikunj Kotecha, Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kotecha demonstrates BrainChip’s brain-inspired Akida platform. With the Akida platform, AI applications are free from the tethers of the cloud and can learn independently. Whether recognizing faces in conventional webcam images

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Avnet Demonstration of Its Edge AI Kit for Fast Stereo Face Recognition with NXP’s i.MX 8M Plus MPU

Monica Houston, Advanced Application Group AI/ML team manager at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Houston demonstrates Avnet’s Edge AI Kit, which provides stereo vision capabilities that help ensure facial recognition is accurate and secure, in action. Houston also explains what’s included

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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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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
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