TECHNOLOGIES

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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Voyager SDK v1.5.3 is Live, and That Means Ultralytics YOLO26 Support

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

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Upcoming Webinar on Challenges of Depth of Field (DoF) in Macro Imaging

On January 29, 2026, at 9:00 am PST (12:00 pm EST) Alliance Member company e-con Systems will deliver a webinar “Challenges of Depth of Field (DoF) in Macro Imaging” From the event page: We’re excited to invite you to an exclusive webinar hosted by e-con Systems: Challenges of DoF in Macro Imaging. In this session,

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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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Meet MIPS S8200: Real-Time, On-Device AI for the Physical World

This blog post was originally published at MIPS’s website. It is reprinted here with the permission of MIPS. Physical AI is the ability for machines to sense their environment, think locally, act safely, and communicate quickly without waiting on the cloud. In safety-critical scenarios like driver assistance or industrial robotics, milliseconds matter. That’s why MIPS’

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The Next Platform Shift: Physical and Edge AI, Powered by Arm

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. The Arm ecosystem is taking AI beyond the cloud and into the real-world As CES 2026 opens, a common thread quickly emerges across the show floor: most of what people are seeing, touching, and experiencing is already built on Arm. Arm-based

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Why DRAM Prices Keep Rising in the Age of AI

This market analysis was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group.   As hyperscale data centers rewrite the rules of the memory market, shortages could persist until 2027. Strong server DRAM demand for AI data centers is driving memory prices higher throughout the market,

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STM32MP21x: It’s Never Been More Cost-effective or More Straightforward to Create Industrial Applications with Cameras

This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. ST is launching today the STM32MP21x product line, the most affordable STM32MP2, comprising a single-core Cortex-A35 running at 1.5 GHz and a Cortex-M33 at 300 MHz. It thus completes the STM32MP2 series announced in 2023, which became our first 64-bit MPUs. After the

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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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