Algorithms

Optimizing Your AI Model for the Edge

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Key takeaways: We talk about five techniques—compiling to machine code, quantization, weight pruning, domain-specific fine-tuning, and training small models with larger models—that can be used to improve on-device AI model performance. Whether you think edge AI is […]

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Cadence Demonstration of a SWIN Shifted Window Vision Transform on a Tensilica Vision DSP-based Platform

Amol Borkar, Director of Product Marketing for Cadence Tensilica DSPs, presents the company’s latest edge AI and vision technologies at the 2025 Embedded Vision Summit. Specifically, Borkar demonstrates the use of the Tensilica Vision 230 (Q7) DSP for advanced AI and transformer applications. The Vision 230 DSP is a highly efficient, configurable, and extensible processor

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DeGirum Demonstration of Its PySDK Running on BrainChip Hardware for Real-time Edge AI

Stephan Sokolov, Software Engineer at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products in BrainChip’s booth at the 2025 Embedded Vision Summit. Specifically, Sokolov demonstrates the power of real-time AI inference at the edge, running DeGirum’s PySDK application directly on BrainChip hardware. This demo showcases low-latency, high-efficiency performance as a script

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Best-in-class Multimodal RAG: How the Llama 3.2 NeMo Retriever Embedding Model Boosts Pipeline Accuracy

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Data goes far beyond text—it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. While the common method is to convert PDFs, scanned images, slides, and other documents into text, it

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BrainChip Demonstration of LLM Inference On an FPGA at the Edge using the TENNs Framework

Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Manninen demonstrates his company’s large language models (LLMs) running on an FPGA edge device, powered by BrainChip’s proprietary TENNs (Temporal Event-Based Neural Networks) framework. BrainChip enables real-time generative AI

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BrainChip Demonstration of Its Latest Audio AI Models in Action At the Edge

Richard Resseguie, Senior Product Manager at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Resseguie demonstrates the company’s latest advancements in edge audio AI. The demo features a suite of models purpose-built for real-world applications including automatic speech recognition, denoising, keyword spotting, and

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Network Optix Demonstration of How the Company is Powering Scalable Data-driven Video Infrastructure

Tagir Gadelshin, Director of Product at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Gadelshin demonstrates how the company’s latest release, Gen 6 Enterprise, is enabling cloud-powered, event-driven video infrastructure for enterprise organizations at scale. Built on Nx EVOS, Gen 6 Enterprise supports

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Network Optix Demonstration of Seamless AI Model Integration with Nx AI Manager

Robert van Emdem, Senior Director of Data Science at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Emdem demonstrates how Nx AI Manager enables seamless deployment of AI models across a wide variety of hardware, including GPU, VPU, and CPU environments. van

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Network Optix Demonstration of Extracting AI Model Data with AI Manager

Marcel Wouters, Senior Backend Engineer at Network Optix, the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Wouters demonstrates how Nx AI Manager simplifies the extraction and use of data from AI models. Wouters showcases a live model detecting helmets and vests on a construction site and

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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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