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On-Device LLMs in 2026: What Changed, What Matters, What’s Next

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 […]

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Faster Sensor Simulation for Robotics Training with Machine Learning Surrogates

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Training robots in the physical world is slow, expensive, and difficult to scale. Roboticists developing AI policies depend on high quality data—especially for complex tasks like picking up flexible objects or navigating cluttered environments. These tasks rely

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How Edge Computing In Retail Is Transforming the Shopping Experience

Forward-looking retailers are increasingly relying on an in-store combination of data collection through IoT devices with various types of sensors, AI for decisions and transactions on live data, and digital signage to communicate results and allow for interaction with customers and store associates. The applications built on this data- and AI-centric foundation range from more

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Free Webinar Highlights Compelling Advantages of FPGAs

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

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HCLTech Recognized as the ‘Innovation Award’ Winner of the 2025 Ericsson Supplier Awards

LONDON and NOIDA, India, Jan 19 2026 — HCLTech, a leading global technology company, today announced that it has been recognized by Ericsson as the ‘Innovation Award’ winner in the 2025 Ericsson Supplier Awards. The award has been given in recognition of HCLTech’s contribution to enhancing Ericsson’s operational efficiency through AI-driven capabilities and automation. HCLTech was selected

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Microchip Expands PolarFire FPGA Smart Embedded Video Ecosystem with New SDI IP Cores and Quad CoaXPress Bridge Kit

Solution stacks deliver broadcast-quality video, SLVS-EC to CoaXPress bridging and ultra-low power operation for next-generation medical, industrial and robotic vision applications   CHANDLER, Ariz., January 19, 2025 —Microchip Technology (Nasdaq: MCHP) has expanded its PolarFire® FPGA smart embedded video ecosystem to support developers who need reliable, low-power, high-bandwidth video connectivity. The embedded vision solution stacks combine hardware evaluation kits, development

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Top Python Libraries of 2025

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Welcome to the 11th edition of our yearly roundup of the Python libraries! If 2025 felt like the year of Large Language Models (LLMs) and agents, it’s because it truly was. The ecosystem expanded at incredible speed, with new models,

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How to Enhance 3D Gaussian Reconstruction Quality for Simulation

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Building truly photorealistic 3D environments for simulation is challenging. Even with advanced neural reconstruction methods such as 3D Gaussian Splatting (3DGS) and 3D Gaussian with Unscented Transform (3DGUT), rendered views can still contain artifacts such as blurriness, holes, or

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Deep Learning Vision Systems for Industrial Image Processing

This blog post was originally published at Basler’s website. It is reprinted here with the permission of Basler. Deep learning vision systems are often already a central component of industrial image processing. They enable precise error detection, intelligent quality control, and automated decisions – wherever conventional image processing methods reach their limits. We show how a

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Free Webinar Examines Autonomous Imaging for Environmental Cleanup

On March 3, 2026 at 9 am PT (noon ET), The Ocean Cleanup’s Robin de Vries, ADIS (Autonomous Debris Imaging System) Lead, will present the free hour webinar “Cleaning the Oceans with Edge AI: The Ocean Cleanup’s Smart Camera Transformation,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration

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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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