Software

Software for Embedded Vision

Hot Topics at Hot Chips: Inference, Networking, AI Innovation at Every Scale — All Built on NVIDIA

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. At the conference in Palo Alto, California, NVIDIA experts detail how NVIDIA NVLink and Spectrum-X Ethernet technologies, Blackwell and CUDA accelerate inference for millions of AI workflows across the globe. AI reasoning, inference and networking will be

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Akida Exploits Sparsity For Low Power in Neural Networks

This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. In the rapidly evolving field of artificial intelligence, edge computing has become increasingly vital for deploying intelligent systems in real-world environments where power, latency, and bandwidth are limited: we need neural network models to run efficiently. For

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5 Key Questions about Synthetic Data Every Data Scientist Should Know

This blog post was originally published at Geisel Software’s Symage website. It is reprinted here with the permission of Geisel Software. In this article, we tackle the 5 key questions about synthetic data that every data scientist must understand to stay ahead in the rapidly evolving world of AI. From its creation process to its

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Snapdragon Ride: A Foundational Platform for Automakers to Scale with the ADAS Market

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The automotive industry is well into the transformation of vehicle architectures and consumer-driven experiences. As the demand for advanced driver assistance systems (ADAS) technologies continues to soar, Qualcomm Technologies’ cutting-edge Snapdragon Ride Platforms are setting a new standard for automotive

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“The New OpenCV 5.0: Added Features, Performance Improvements and Future Directions,” a Presentation from OpenCV.org

Satya Mallick, CEO of OpenCV.org, presents the “New OpenCV 5.0: Added Features, Performance Improvements and Future Directions” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Mallick delves into the latest version of OpenCV, the world’s most popular open-source computer vision library. He highlights the major innovations and… “The New OpenCV 5.0: Added

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Maximize Robotics Performance by Post-training NVIDIA Cosmos Reason

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. First unveiled at NVIDIA GTC 2025, NVIDIA Cosmos Reason is an open and fully customizable reasoning vision language model (VLM) for physical AI and robotics. The VLM enables robots and vision AI agents to reason using prior

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“Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization,” a Presentation from NXP Semiconductors

Robert Cimpeanu, Machine Learning Software Engineer at NXP Semiconductors, presents the “Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Cimpeanu explains two neural network quantization techniques, quantization-aware training (QAT) and post-training quantization (PTQ), and explain when to… “Introduction to Shrinking Models with

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Implementing Multimodal GenAI Models on Modalix

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. It has been our goal since starting SiMa.ai to create one software and hardware platform for the embedded edge that empowers companies to make their AI/ML innovations come to life. With the rise of Generative AI already

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“Customizing Vision-language Models for Real-world Applications,” a Presentation from NVIDIA

Monika Jhuria, Technical Marketing Engineer at NVIDIA, presents the “Customizing Vision-language Models for Real-world Applications” tutorial at the May 2025 Embedded Vision Summit. Vision-language models (VLMs) have the potential to revolutionize various applications, and their performance can be improved through fine-tuning and customization. In this presentation, Jhuria explores the concept… “Customizing Vision-language Models for Real-world

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XR Tech Market Report

Woodside Capital Partners (WCP) is pleased to share its XR Tech Market Report, authored by senior bankers Alain Bismuth and Rudy Burger, and by analyst Alex Bonilla. Why we are interested in the XR Ecosystem Investors have been pouring billions of dollars into developing enabling technologies for augmented reality (AR) glasses aimed at the consumer market,

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OpenAI’s gpt-oss-20b: Its First Open-source Reasoning Model to Run on Devices with Snapdragon

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. At Qualcomm Technologies, we’ve long believed that AI assistants will be ubiquitous, personal and on-device. Today, we’re excited to share a major milestone in that journey: OpenAI has open-sourced its first reasoning model, gpt-oss-20b, a chain-of-thought reasoning

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“Visual Search: Fine-grained Recognition with Embedding Models for the Edge,” a Presentation from Gimlet Labs

Omid Azizi, Co-Founder of Gimlet Labs, presents the “Visual Search: Fine-grained Recognition with Embedding Models for the Edge” tutorial at the May 2025 Embedded Vision Summit. In the domain of AI vision, we have seen an explosion of models that can reliably detect objects of various types, from people to… “Visual Search: Fine-grained Recognition with

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“Optimizing Real-time SLAM Performance for Autonomous Robots with GPU Acceleration,” a Presentation from eInfochips

Naitik Nakrani, Solution Architect Manager at eInfochips, presents the “Optimizing Real-time SLAM Performance for Autonomous Robots with GPU Acceleration” tutorial at the May 2025 Embedded Vision Summit. Optimizing execution time of long-term and large-scale SLAM algorithms is essential for real-time deployments on edge compute platforms. Faster SLAM output means faster… “Optimizing Real-time SLAM Performance for

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SiMa.ai Next-Gen Platform for Physical AI in Production

Modalix in Production, Now Shipping SoM Pin-Compatible with leading GPU SoM, Dev Kits, and LLiMa for Seamless LLM-to-Modalix Integration SAN JOSE, Calif., August 12, 2025 — SiMa.ai, a pioneer in Physical AI solutions, today is making three significant product announcements to accelerate the scaling of Physical AI. Production and immediate availability of its next-generation Physical

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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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