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Practical AI and computer vision technology is being developed for systems that span virtually every application, and many of these application areas will experience huge growth rates. With trendsetting products demonstrating what is possible, system designers have discovered that the suppliers of computer vision technology have removed the barriers to building practical computer vision systems—unleashing a huge wave of innovation for new products and applications.
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NXP’s New S32N7 Unlocks the Full Potential of SDVs
Key Takeaways: S32N7 processor series fully digitizes and centralizes core vehicle functions OEMs can cut complexity and unlock AI-powered innovation fleetwide Bosch is the first to deploy the S32N7 in its vehicle integration platform LAS VEGAS, Jan. 05, 2026 (GLOBE NEWSWIRE) — CES — NXP Semiconductors N.V. (NASDAQ: NXPI) today unveiled the S32N7 super-integration processor series, building
Samsung to Launch In-house Mobile GPU by 2027
December 25, 2025, Suwon, South Korea — Samsung Electronics is accelerating plans to bring mobile graphics processing fully in-house, with multiple reports pointing to a proprietary GPU architecture arriving in an Exynos application processor as early as 2027. A report citing Cailian Press, says Samsung’s System LSI Division is pushing toward a “100% proprietary technology”
How Embedded Vision Is Helping Modernize and Future-Proof Retail Operations
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Physical stores are becoming intelligent environments. Embedded vision turns every critical touchpoint into a source of real-time insight, from shelves and kiosks to checkout zones and digital signages. With cameras analyzing activity as it happens, retailers
The Coming Robotics Revolution: How AI and Macnica’s Capture, Process, Communicate Philosophy Will Define the Next Industrial Era
This blog post was originally published at Macnica’s website. It is reprinted here with the permission of Macnica. Just as networking and fiber-optic infrastructure quietly laid the groundwork for the internet economy, fueling the rise of Amazon, Facebook, and the digital platforms that redefined commerce and communication, today’s breakthroughs in artificial intelligence are setting the stage
Drones Market 2026-2036: Technologies, Markets, and Opportunities
This article was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. Global Drone Market Set to Reach US$147.8 Billion by 2036, Driven by Commercial Expansion, Regulatory Maturity, and Sensor Proliferation Over the past decade, drones have moved from experimental tools into critical infrastructure across agriculture, logistics, energy, security, and public-sector
Grounded AI Starts Here: Rapid Customization for RAG and Context Engineering
This blog post was originally published in expanded form at RapidFire AI’s website. It is reprinted here with the permission of RapidFire AI. Building a reliable Retrieval Augmented Generation (RAG) pipeline should not feel like guesswork. Yet for most AI developers, it still does. According to a recent MIT study on enterprise AI adoption, around 95%
poLight ASA Collaborates with Image Quality Labs on M12-based Raspberry Pi TLens Studio for AI-driven Industrial Machine Vision Applications
TØNSBERG, Norway–(BUSINESS WIRE) — poLight ASA (OSE: PLT) and Image Quality Labs (IQL) today announced the development of an M12-based Raspberry Pi TLens® Studio evaluation and development platform, utilizing the new line of TLens® off-the-shelf (OTS) focusing camera lens. This platform enables machine vision design engineers to quickly and easily evaluate high speed, constant field-of-view
AI On: 3 Ways to Bring Agentic AI to Computer Vision Applications
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Learn how to integrate vision language models into video analytics applications, from AI-powered search to fully automated video analysis. Today’s computer vision systems excel at identifying what happens in physical spaces and processes, but lack the abilities to explain the
Better Than Real? What an Apple-Orchard Benchmark Really Says About Synthetic Data for Vision AI
If you work on edge AI or computer vision, you’ve probably run into the same wall over and over: The model architecture is fine. The deployment hardware is (barely) ok. But the data is killing you—too narrow, too noisy, too expensive to expand. That’s true whether you’re counting apples, spotting defects on a production line,
Ambarella’s CV3-AD655 Surround View with IMG BXM GPU: A Case Study
The CV3-AD family block diagram. This blog post was originally published at Imagination Technologies’ website. It is reprinted here with the permission of Imagination Technologies. Ambarella’s CV3-AD655 autonomous driving AI domain controller pairs energy-efficient compute with Imagination’s IMG BXM GPU to enable real-time surround-view visualisation for L2++/L3 vehicles. This case study outlines the industry shift
