This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision Transformers (ViTs) are taking computer vision by storm, offering incredible accuracy, robust solutions for challenging real-world scenarios, and improved generalizability. The algorithms are playing a pivotal role in boosting computer vision applications and NVIDIA is making […]
Yaniv Iarovici, Head of Business Development at Hailo, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Iarovici demonstrates a powerful, complete video management system (VMS) solution for public safety and security. The VMS leverages the Samurai Detect video analytics application developed by Hailo’s software partner,
Hailo Demonstration of Art of Logic’s Video Management System Read More +
Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Chilappagari demonstrates DeGirum’s DeLight Cloud Platform. Chilappagari demonstrates how application developers can run inference on DeGirum hardware (ORCA) from the browser without having to invest money in buying hardware
DeGirum Demonstration of Its Cloud Platform for Accelerating Edge AI Development Read More +
Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Chilappagari demonstrates DeGirum’s hardware (ORCA) and software (PySDK). Chilappagari demonstrates PYSDK’s ability to pipeline multiple machine learning models by showcasing a use case in which the output of one
DeGirum Demonstration of Efficient Pipelining of Multiple Models Using DeGirum PySDK Read More +
Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Chilappagari demonstrates DeGirum’s hardware (ORCA) and software (PySDK). Chilappagari demonstrates a use case in which three YOLOv5-based object detection models (hand detection, face detection, and person detection) are running
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
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
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 +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our latest whitepaper shows that a new floating-point format doesn’t measure up to integer when you’re quantizing AI models to run on edge devices Artificial intelligence (AI) has become pervasive in our lives, improving our phones, cars,
Floating-point Arithmetic for AI Inference: Hit or Miss? Read More +
This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the previous episode of our Road to Data Science series, we went through all the general skills needed to become a proficient data scientist. In this post, we start to dig deeper into the specifics of
Machine Learning 101: Build, Train, Test, Rinse and Repeat 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.
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