This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Hardware-software integration isn’t incidental; it can make or break your project. When hardware and software don’t evolve together, even small disconnects can derail timelines, budgets, and trust. Late-stage fixes cost exponentially more. A bug caught […]
Dwith Chenna, MTS Product Engineer for AI Inference at AMD, presents the “Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review” tutorial at the May 2025 Embedded Vision Summit. The deployment of large language models (LLMs) in resource-constrained environments is challenging due to the significant computational and… “Quantization Techniques for Efficient Deployment
The PDF files linked to below are the presentations from the August 7, 2025 Edge AI and Vision Alliance Member Briefing sessions. Please be aware that these materials are for Alliance Member company internal use only. August 7, 2025 Edge AI and Vision Alliance Member Briefing (Alliance) August 7, 2025… August 7, 2025 Edge AI
August 7, 2025 Edge AI and Vision Alliance Member Briefing Presentations Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Dive in to learn how we achieve a 1.4x latency decrease on Qualcomm Cloud AI 100 Ultra accelerators by applying an innovative DeepCache technique to text-to-image generation. What’s more, the throughput can be further improved by 3x
Learn to Optimize Stable Diffusion on Qualcomm Cloud AI 100 Read More +
The demonstration shows how to use Texas Instruments’ AM6xA to capture live video, perform machine learning, and stream video over Wi-Fi. The video is encoded with H.264/H.265, and streamed via UDP over Wi-Fi using the CC33xx. At the receiver side, the video is decoded and displayed on a screen. The receiver side could be a
Texas Instruments Demonstration of Edge AI Inference and Video Streaming Over Wi-Fi Read More +
Joep Boonstra, Synopsys Scientist at Synopsys, presents the “Introduction to Data Types for AI: Trade-Offs and Trends,” tutorial at the May 2025 Embedded Vision Summit. The increasing complexity of AI models has led to a growing need for efficient data storage and processing. One critical way to gain efficiency is… “Introduction to Data Types for
“Introduction to Data Types for AI: Trade-Offs and Trends,” a Presentation from Synopsys Read More +
NEW PROCESSORS ENABLE ULTRA-EFFICIENT EDGE INFERENCE Key Requirements to Successfully Implement Generative AI in Edge Devices: Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP In this 2025 Embedded Vision Summit talk, Gordon Cooper, Principal Product Manager at Synopsys, discusses emerging trends in generative AI for edge devices and the key role of transformer-based
Edge AI and Vision Insights: August 6, 2025 Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Any breach along the perimeter, from industrial plants to data centers, results in major threats. That’s why embedded vision is so important. Discover how cameras work in these systems, their must-have features, as well as
The Role of Embedded Cameras in Ensuring Perimeter Security Read More +
Texas Instruments’ portfolio of AM6xA Arm-based processors are designed to advance intelligence at the edge using high resolution camera support, an integrated image sensor processor and deep learning accelerator. This video demonstrates using AM62A to run a vision-based artificial intelligence model for defect detection for manufacturing applications. Watch the model test the produced units as
Amol Borkar, Product Marketing Director, and Vencatesh Subramanian, Design Engineering Architect, both of Cadence, co-present the “Introduction to Radar and Its Use for Machine Perception” tutorial at the May 2025 Embedded Vision Summit. Radar is a proven technology with a long history in various market segments and continues to plays an increasingly important role in
“Introduction to Radar and Its Use for Machine Perception,” a Presentation from Cadence Read More +
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