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The Future of Security Is Already Running. Here Is What It Looks Like.

This blog post was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. A camera sees everything and understands nothing. For decades, that has been the fundamental limitation of physical security at scale: vast amounts of footage, limited ability to act on it in real time. The gap between […]

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Bringing AI Closer to the Edge and On-Device with Gemma 4

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments, from NVIDIA Blackwell in the data center to Jetson at the edge. These models are suited

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Gemma 4 Models Optimized for Intel Hardware: Enabling Instant Deployment from Day Zero

We’re excited to announce Intel’s strategic partnership with Google to deliver optimized Gemma 4 models on Intel hardware from day one. This collaboration enables developers to leverage the power of Google’s latest AI models on Intel hardware: Intel® Core™ Ultra processors, Intel® Xeon® CPUs, and Intel® Arc™ GPUs. Developers can create AI applications that run

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See How ams OSRAM Revolutionize Optical Solutions with the Help of Cadence Tools

OSRAM utilizes the Quantus SNA workflow for high-precision silicon. In modern semiconductor design, Heterogeneous Integration is the new frontier. When light detectors for Medical Imaging or depth sensors for Autonomous Systems are packed onto a single die alongside radio systems, the risk of interference skyrockets. For ‪ams OSRAM‬, “sensing the power of light” means more

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The On-Device LLM Revolution: Why 3B-30B Models Are Moving to the Edge

This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. After years of cloud-centric inference, AI is moving to the edge. The “Goldilocks zone” of 3B to 30B parameter models is delivering GPT-4-class performance on smartphones, automotive systems, and industrial equipment — and creating an acute challenge for

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Edge AI and Vision Insights: April 1, 2026

  LETTER FROM THE EDITOR Dear Colleague, This issue highlights two practical themes in edge AI: data foundations for AI and safety-critical edge AI. Across these articles, a common engineering lesson emerges: building successful systems requires not just strong models, but disciplined work on the data pipeline and careful design for safe operation in demanding

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Inside the Intelligent Mobile Camera Powered by Exynos 2600 VPS

This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Until recently, the evolution of mobile cameras has been centered on the image sensor and the image signal processor (ISP). In this conventional architecture, the image sensor converts light into electrical signals, while the ISP corrects

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Smart Home Connectivity: Trends, Challenges and the Role of Next-Gen IoT Technology

This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. As the smart home market matures, consumers demand devices that are not just connected, but intelligent and interoperable. It can be a challenge to address their demands because original equipment manufacturers (OEMs) face regulatory changes affecting new security,

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Upcoming Webinar on Agentic Memory Systems

On April 16, 2026, at 1:00 pm EDT (10:00 am PDT) Boston.AI will deliver a webinar “Remembering to Forget: Agentic Memory Systems and Context Constraints” From the event page: As AI agents evolve from stateless responders into persistent, goal-directed systems, memory has become a central design challenge. The question is no longer just what agents

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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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