Videos on Edge AI and Visual Intelligence
We hope that the compelling AI and visual intelligence case studies that follow will both entertain and inspire you, and that you’ll regularly revisit this page as new material is added. For more, monitor the News page, where you’ll frequently find video content embedded within the daily writeups.
Alliance Website Videos
Cadence Demonstration of Next-gen On-device and Edge AI Using a Tensilica Turnkey AI Accelerator Solution
Suhas Mitra, Director Product Management and Marketing at Cadence, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Mitra demonstrates Cadence’s Tensilica AI accelerator portfolio, specifically showcasing the company’s Tensilica NNA (Neural Network Accelerator) 110 IP. These IPs can significantly improve the performance of edge and
Cadence Demonstration of In-vehicle Infotainment
Amol Borkar, Director of Product and Marketing for Vision and AI DSPs at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Borkar demonstrates an automotive in-vehicle infotainment system, implemented on a customer’s platform and featuring the Tensilica Vision DSP. Infotainment is an important
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
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
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
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
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
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
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
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
