Nandan Nayampally, Chief Marketing Officer at BrainChip, presents the “Enabling Ultra-low Power Edge Inference and On-device Learning with Akida” tutorial at the May 2023 Embedded Vision Summit. The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, Nayampally shows how BrainChip’s […]
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. GMSL is a high-speed serial interface used in automotive video applications, robotic devices, agricultural vehicles, etc. It is a SerDes technique that enables long-distance transmission. Compared to MIPI – one of the most popular camera
GMSL Cameras vs MIPI Cameras: A Detailed Study Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. ControlNet running entirely on device, fitness coaching with an LLM, 3D reconstruction for XR, our accepted papers and much more The annual IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) is regarded as one of the
Qualcomm at CVPR 2023: Advancing Research and Bringing Generative AI to the Edge Read More +
OPEN SOURCE-BASED DEVELOPMENT TECHNIQUES Using Kubernetes to Speed Development and Deployment of Edge Computer Vision Applications In this 2022 Embedded Vision Summit presentation, Rakshit Agrawal, Vice President of Research and Development at Camio, presents real-world deployments of computer vision solutions using Kubernetes and shows how containerization enables continuous AI updates on a massive scale at
Edge AI and Vision Insights: June 21, 2023 Edition Read More +
Peter Fenn, Director of the Advanced Applications Group at Avnet, presents the “Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability” tutorial at the May 2023 Embedded Vision Summit. The trend of pushing AI/ML capabilities to the edge brings design challenges around the need to combine high-performance computing (for AI/ML algorithms) with low
Stephen Su, Senior Product Manager at Arm, presents the “Sparking the Next Generation of Arm-based Cloud-native Smart Camera Designs” tutorial at the May 2023 Embedded Vision Summit. As enterprises and consumers increasingly adopt machine learning-enabled smart cameras, the expectations of these end users are becoming more sophisticated. In particular, smart camera users increasingly expect their
Gorkem Ulkar, Principal ML Engineer at Analog Devices, presents the “Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator” tutorial at the May 2023 Embedded Vision Summit. In this talk, Ulkar presents alternative and more efficient methods of processing raw camera images using neural network accelerators. He begins by introducing Analog Devices’ convolutional neural
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. ECTC explores integration, bonding technologies and new materials in search of advanced packaging for the AI age Advanced packaging is a linchpin for the semiconductor industry which is wrestling with integrating multiple
Innovation Beyond Moore’s Law: Advanced Packaging Explores New Frontiers Read More +
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Geopolitical tensions are making advanced semiconductor packaging increasingly crucial… OUTLINE The Advanced Packaging (AP) market, valued at US$44.3 billion in 2022, is expected to grow at a CAGR of 10.6% from 2022
Advanced Semiconductor Packaging: A New Geopolitical Battleground Read More +
Phil Lapsley, Co-founder and Vice President of BDTI, presents the “Five Things You Might Overlook on Your Next Vision-enabled Product Design” tutorial at the May 2023 Embedded Vision Summit. When you think about building a vision-enabled product, you probably think about things like: Which processor am I going to use? What neural network will it
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