Enabling developers to build, integrate, and deploy edge AI solutions at scale SANTA CLARA, Calif., — Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced that it will exhibit at Embedded World 2026, taking place March 10-12 in Nuremberg, Germany. At the show, Ambarella’s theme, “The Ambarella Edge: From Agentic to Physical AI,” […]
Chandler, Ariz., February 10, 2026 — A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in today’s industrial, automotive, data center and consumer Internet of Things (IoT) networks. Microchip Technology (Nasdaq: MCHP) has extended its edge AI offering
This blog post was originally published at Texas Instruments’ website. It is reprinted here with the permission of Texas Instruments. Introduction Continuous innovation in high-performance, power-efficient systems-on-a-chip (SoCs) is enabling safer, smarter and more autonomous driving experiences in even more vehicles. As another big step forward, Texas Instruments and Synopsys developed a Virtualizer Development Kit™ (VDK) for the
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. New NVIDIA safety
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. In today’s automotive industry, onboard AI inference engines drive numerous safety-critical Advanced Driver Assistance Systems (ADAS) features, all of which require consistent, high-performance processing. Given that AI model engineering is inherently iterative (numerous cycles of ‘train, validate, and
Driving the Future of Automotive AI: Meet RoX AI Studio Read More +
This blog post was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. The gap between robotics prototypes and production deployments has always been an infrastructure problem disguised as a hardware problem. Teams build incredible computer vision models and robotic control systems on NVIDIA Jetson developer kits, only to hit
On February 25, 2026 from 8:30 am to 5:30 pm ET, Advantech, Qualcomm, Arrow, in partnership with D3 Embedded, Edge Impulse, and the Pittsburgh Robotics Network will present Robotics Builders Forum, an in-person conference for engineers and product teams. Qualcomm and D3 Embedded are members of the Edge AI and Vision Alliance, while Edge Impulse
Robotics Builders Forum offers Hardware, Know-How and Networking to Developers Read More +
In On-Device LLMs: State of the Union, 2026, Vikas Chandra and Raghuraman Krishnamoorthi explain why running LLMs on phones has moved from novelty to practical engineering, and why the biggest breakthroughs came not from faster chips but from rethinking how models are built, trained, compressed, and deployed. Why run LLMs locally? Four reasons: latency (cloud
On-Device LLMs in 2026: What Changed, What Matters, What’s Next Read More +
Voyager v1.5.3 dropped, and Ultralytics YOLO26 support is the big headline here. If you’ve been following Ultralytics’ releases, you’ll know Ultralytics YOLO26 is specifically engineered for edge devices like Axelera’s Metis hardware. Why Ultralytics YOLO26 matters for your projects: The architecture is designed end-to-end, which means no more NMS (non-maximum suppression) post-processing. That translates to simpler deployment and
Voyager SDK v1.5.3 is Live, and That Means Ultralytics YOLO26 Support Read More +
On March 17, 2026 at 9 am PT (noon ET), Efinix’s Mark Oliver, VP of Marketing and Business Development, will present the free hour webinar “Why your Next AI Accelerator Should Be an FPGA,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Edge AI system developers often
Free Webinar Highlights Compelling Advantages of FPGAs Read More +
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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