This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How Qualcomm is improving on-device performance with AI compilers Artificial intelligence (AI) is having its big moment with the rise of generative AI models, but it often comes at an increasing cost: energy consumption and computing. To […]
Michael Kosinski, Senior Embedded Software Engineer at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kosinski demonstrates Renesas’ Winning Combination PoC (Proof of Concept), designed to deliver a low-power AI solution for battery-based trail camera, video doorbell and video security applications. This PoC
Michael Kosinski, Senior Embedded Software Engineer at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kosinski demonstrates Renesas’ proprietary DRP-AI accelerator, which provides high performance AI inference with excellent power efficiency. This demonstration is a prototype for Renesas’ next-generation DRP-AI, which realizes sparse
Renesas Demonstration of Its Next-generation Artificial Intelligence Accelerator Read More +
Jeff Bier, co-founder of the Edge AI and Vision Alliance, interviews Daniel Firu, co-founder and Chief Product Officer of Quadric, to learn how Quadric’s Chimera processor IP helps tackle the challenge of supporting the latest state-of-the-art deep neural network models in edge silicon devices. Bier and Firu explore the hurdles facing system and software developers
Edge AI and Vision Alliance Interview with Quadric Read More +
David Jarmon, Senior Vice President, Special Project at VeriSilicon, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Jarmon demonstrates VeriSilicon’s platform-based SoC design solutions leveraging its various IP and software design capabilities. VeriSilicon takes pride in its long-standing involvement in the Embedded Vision Summit and
VeriSilicon Demonstration of the Company’s Technologies and Customer Use Cases Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Split-pixel HDR technology is a game-changer in embedded vision, allowing camera systems to capture a broader range of brightness levels for more vibrant and true-to-life images. Explore the two HDR modes, see how split-pixel HDR
Everything You Need to Know About Split-pixel HDR Technology Read More +
This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. This is the third entry in our Road to Machine Learning series; if you read the first and second entries and did your homework, congratulations! The force is growing on you! By now, you should feel familiar
Object Detection and Tracking Step by Step Guide: A Hands-on Exercise Read More +
David Jarmon, Senior Vice President, Special Project at VeriSilicon, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Jarmon demonstrates VeriSilicon’s IP adopted by NXP Semiconductors’ i.MX8M top-of-the-line processor family. Designed in collaboration with VeriSilicon, the i.MX8M family integrates some of VeriSilicon’s key processor IP, including
Louis Gobin, AI Product Marketing Engineer at STMicroelectronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Gobin demonstrates the STM32Cube.AI Developer Cloud. Speeding Edge-AI development for STM32 MCUs, the STM32Cube.AI Developer Cloud opens access to an extensive suite of tools built to import machine learning
This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the realm of computer vision, object detection plays a vital role in various applications, including surveillance systems, autonomous driving, and image recognition. However, accurate object detection can be challenging in real-world scenarios due to the presence
Enhancing Object Detection: The Impact of Visidon CNN-based Noise Reduction Read More +
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