This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained utilization, especially at the edge. Vision LLMs are changing […]
Why Vision LLMs Force A Rethink Of Edge AI Hardware Read More +
The transition toward software-defined ADAS platforms is reshaping supply chains, accelerating ecosystem transformation, and redefining industry leadership. Key Takeaways The ADAS market is set to grow to more than $66 billion by 2031, with value shifting from sensors to computing. Supply chain: China is emerging as the fastest-growing and most dynamic ADAS ecosystem, reshaping global
From Sensors to Software: ADAS Market Accelerates Toward $66 Billion Read More +
Mark Antonelli, CTO at Boston.AI presents “What We Learned Porting to OpenCV 5 with Claude Code” at the May 2026 Embedded Vision Summit. OpenCV 5 introduces significant architectural changes to improve vision performance and better utilize modern hardware. In addition to support for new features like vision-language models, there are… “What We Learned Porting to
“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI Read More +
Gemma 4 on Arm brings fast, privacy-preserving, power-efficient AI directly onto Android devices, helping developers deliver richer real-time app experiences to billions of users without relying on the cloud. This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Real-time assistance, seamless communication, and greater personalization are now baseline expectations for billions of smartphone
Bringing AI and vision designs to life starts with reliable data movement. Learn how our latest evaluation kits help engineers prototype imaging and networking paths early, reduce design risk and move from concept to working system faster. Microchip released two evaluation platforms designed to help developers prototype and benchmark data-intensive systems much earlier in
Building High-Performance Data Paths: New Evaluation Platforms for AI and Vision Systems Read More +
Thomas Zerbs, Technical Marketing Engineer, Adaptive and Embedded Computing Group at AMD presents “Accelerating Deep Learning Models on AMD Adaptive SoCs with the AMD Vitis AI Workflow” at the May 2026 Embedded Vision Summit. In this presentation, we provide a practical end-to-end overview of the AMD Vitis™ AI workflow for… “Accelerating Deep Learning Models on
This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Artificial Intelligence (AI) is rapidly expanding beyond digital environments and into the physical world. AI-driven systems that give machines the ability to perceive, comprehend, learn from, and respond to real-time environments are quickly moving from
Samsung Foundry and Cadence: Accelerating Chiplet Solutions for Physical AI Read More +
Key Takeaways: Addresses a critical challenge in AI – delivering high-density, energy-efficient compute as power and thermal demands limit system scale Further advances ADI’s position as a leading strategic, system-level grid-to-core power partner for hyperscalers and AI silicon developers Expands ADI’s total addressable market in AI compute power delivery with Integrated Voltage Regulator (IVR) and
Live demos showcasing high-accuracy ALPR, AI-powered traffic analytics, and cloud-based traffic video management solutions for Vision Zero initiatives California & Chennai (May 27, 2026): e-con Systems®, a global leader in embedded vision solutions, will showcase its latest Edge AI-powered Intelligent Transportation System (ITS) solutions at ITS America Conference & Expo 2026, taking place from
Alok Gupta, Senior Technical Marketing Manager at AMD presents “Accelerating Physical AI with ROCm: High-Performance ML on AMD Embedded iGPUs” at the May 2026 Embedded Vision Summit. Discover how AMD’s ROCm software stack unlocks data center-class ML performance on embedded integrated GPUs, enabling diverse AI workloads from CNNs and transformers… “Accelerating Physical AI with ROCm:
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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