Blog Posts

In-cabin Voice Agent at the Edge: Redefining the Drive

Algorithms & Models, Automotive, Blog Posts, ENERZAi, Software /

This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Hyundai Motor Group recently introduced Gleo AI — a conversational voice AI agent — in the all-new Grandeur, marking the first time such a system has appeared in one of their production vehicles. Unlike traditional voice recognition, which only responds to fixed […]

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Breadth, Depth and Value: Arm Empowers Developers for the Agentic AI Era

Arm, Blog Posts, Processors, Tools /

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Great hardware matters, but software is what helps unlock its full value. Arm’s DNA is hardware, and our sustained software investments help make that hardware easier to use, optimize, and scale. Since our inception, Arm has invested across the

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Why Memory Capacity is the Real Performance Bottleneck in Agentic AI Workstations

Blog Posts, Memory, Micron Technology /

This blog post was originally published at Micron Technology’s website. It is reprinted here with the permission of Micron Technology. As AI agents become long lived and concurrent, memory capacity, not just compute, has emerged as the deciding factor in real world AI workstation performance. At Dell Technologies World (DTW) in Las Vegas, Micron showcased a

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Run Ultralytics YOLO on Axelera AIPUs in Minutes

Axelera AI, Blog Posts, Processors, Tools /

This blog post was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. Trying new AI hardware typically means weeks of integration work before you can tell if the hardware is even worth it. There’s a new compiler, new runtime, and new preprocessing quirks. By the time you’ve ported

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Why High-Resolution 3D Depth Is Critical for Next-Generation Robots

Blog Posts, e-con Systems, Robotics, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. When discussing 3D depth cameras, “high-resolution” refers to a sensor’s ability to capture a dense, detailed map of distance measurements. Specifically, it means the sensor provides more individual data points, or pixels, across its field of

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What Defines a True 200-Megapixel Experience?

Blog Posts, Samsung Semiconductor, Sensors and Cameras /

This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Smartphone cameras have evolved far beyond simple tools for capturing moments. Today, users want to frame an entire landscape during travel, then zoom in to clearly see the windows of a distant building. Whether shooting in

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HTEC White Paper Outlines the Convergence of Edge AI, Semiconductor Software, and Autonomous Systems

Aerospace and Defense, Algorithms & Models, Automotive, Blog Posts, HTEC Group, Information Access and Analytics, Processors, Software, Tools /

This content was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. Physical AI at the Edge: Building the Full Stack for Real-World Deployment For years, AI progress was measured by model benchmark scores. The real test is different: does it work when deployed in a vehicle, a factory, a

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Successful Machine Learning Projects Shape the Entire Lifecycle

Algorithms & Models, Blog Posts, Helbling /

This blog post was originally published at Helbling’s website. It is reprinted here with the permission of Helbling. The full value of Machine Learning (ML) and Artificial Intelligence (AI) only emerges when the entire lifecycle of an application is taken into account. Yet many companies struggle to establish a sustainable and scalable operating model early enough

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Why Most AI Performance Metrics Break Down in Production

Algorithms & Models, Blog Posts, Memory, ModelCat /

This blog post was originally published at ModelCat’s website. It is reprinted here with the permission of ModelCat. Artificial intelligence systems often appear highly effective during development. Models achieve strong benchmark scores, validation metrics improve over time, and performance looks predictable within controlled environments. But once those same systems are deployed into real-world conditions, results frequently

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Powering Edge AI at Scale: Synaptics Astra SRW1500 Series Single-Chip AI MCU

Blog Posts, Processors, Software, Synaptics /

From the early days of the Internet of Things (IoT), connected devices have been highly effective at sensing and processing real-world inputs. But as AI workloads grow more demanding and real-time responsiveness becomes critical, the value is no longer in collecting data—it’s in acting on it instantly. This shift is pushing AI-native compute out of

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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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