Software

“Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review,” a Presentation from AMD

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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 […]

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Learn to Optimize Stable Diffusion on Qualcomm Cloud AI 100

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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

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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

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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

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

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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

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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

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Optimizing LLMs for Performance and Accuracy with Post-training Quantization

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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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Alif Semiconductor Demonstration of Face Detection and Driver Monitoring On a Battery, at the Edge

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Alexandra Kazerounian, Senior Product Marketing Manager at Alif Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kazerounian demonstrates how AI/ML workloads can run directly on her company’s ultra-low-power Ensemble and Balletto 32-bit microcontrollers. Watch as the AI/ML AppKit runs real-time face detection using an

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Nota AI Demonstration of Nota Vision Agent, Next-generation Video Monitoring at the Edge

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Tae-Ho Kim, CTO and Co-founder of Nota AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kim demonstrates Nota Vision Agent—a next-generation video monitoring solution powered by Vision Language Models (VLMs). The solution delivers real-time analytics and intelligent alerts across critical domains including industrial safety,

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SiMa.ai Expands Strategic Collaboration with Synopsys to Accelerate Automotive AI Innovation

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Transforming ADAS and In-Vehicle Infotainment Breakthroughs with Innovative ML IP, Chiplets, and System-on-Chip Reference Architectures SAN JOSE, Calif., July 30, 2025 /PRNewswire/ — SiMa.ai, a pioneer in ultra-efficient machine learning system-on-chip (MLSoC) platform, today announced the next phase of their strategic collaboration with Synopsys, the leading provider of engineering solutions from silicon to systems, to

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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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