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Learn to Optimize Stable Diffusion on Qualcomm Cloud AI 100

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 […]

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Texas Instruments Demonstration of Edge AI Inference and Video Streaming Over Wi-Fi

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

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“Introduction to Data Types for AI: Trade-offs and Trends,” a Presentation from Synopsys

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 using smaller and simpler data

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Edge AI and Vision Insights: August 6, 2025

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

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The Role of Embedded Cameras in Ensuring Perimeter Security

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

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Machine Vision Defect Detection: Edge AI Processing with Texas Instruments AM6xA Arm-based Processors

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

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“Introduction to Radar and Its Use for Machine Perception,” a Presentation from Cadence

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 play an increasingly important role in

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BrainChip Launches Akida Cloud for Instant Access to Latest Akida Neuromorphic Technology

Aligns with BrainChip’s long-term strategy to accelerate customer access to its innovations and reduce development cycles LAGUNA HILLS, Calif.–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced launch of the BrainChip Developer Akida Cloud, a new cloud-based access point

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Optimizing LLMs for Performance and Accuracy with Post-training Quantization

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Quantization is a core tool for developers aiming to improve inference performance with minimal overhead. It delivers significant gains in latency, throughput, and memory efficiency by reducing model precision in a controlled way—without requiring retraining. Today, most models

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OpenMV Demonstration of the OpenMV Cam N6 and AE3

Kwabena Agyeman, president and co-founder of OpenMV, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Agyeman demonstrates the new OpenMV Cam N6 and AE3, which can run AI models in a form factor the size of an inch. The new OpenMV Cams can run on

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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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