TECHNOLOGIES

Free Webinar Outlines Development of Edge-first Coding Agents

On August 25, 2026 at 9 am PT (noon ET), Pietro Antonio Cicalese, Senior Technical Marketing Engineer, at Ambarella, will present the free hour webinar “Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Coding agents are usually built […]

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“From Chips to Platforms: Scaling Edge AI with SoMs, Production Linux and Secure Life-Cycle Ops,” a Presentation from Peridio

Amir Sherman, Head of Global Business Development at Peridio presents “From Chips to Platforms: Scaling Edge AI with SoMs, Production Linux and Secure Life-Cycle Ops” at the May 2026 Embedded Vision Summit. Edge AI has moved beyond choosing a single chip or platform. Teams now face a harder question: how… “From Chips to Platforms: Scaling

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Successful Machine Learning Projects Shape the Entire Lifecycle

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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“Building a Local Voice Agent on a Raspberry Pi,” a Presentation from Moonshine AI

Pete Warden, CEO at Moonshine AI presents “Building a Local Voice Agent on a Raspberry Pi” at the May 2026 Embedded Vision Summit. In this talk, Warden explains everything you need to know to build your own voice agent running entirely on a stock Raspberry Pi 5, with no internet… “Building a Local Voice Agent

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Why Most AI Performance Metrics Break Down in Production

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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MemryX Expands Cascade Platform, Bringing Power-Efficient Edge AI to Servers

Introducing an expanded portfolio of modules that gives developers a single, scalable architecture to power everything from low-power devices to enterprise edge infrastructure ANN ARBOR, Mich., June 22, 2026 /PRNewswire/ — As AI moves from cloud environments into factories, transportation systems, robotics, and intelligent infrastructure, developers face growing challenges related to power consumption, memory bandwidth, deployment complexity,

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STMicroelectronics Unveils New Compact Direct Time-of-Flight 3D LiDAR Module

Key Takeaways VL53L9 is the first direct Time-of-Flight (dToF) 3D LiDAR all-in-one module in ST’s portfolio, offering a resolution of 2.3K zones, wide field of view, on-chip processing, 100 frames per second, and sensing range from 5 centimeters to 9 meters. Designed to meet the evolving needs of customers and partners across diverse industries, including robotics,

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“Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems,” a Presentation from Quadric

Mike Leonard, Software Architect at Quadric presents “Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems” at the May 2026 Embedded Vision Summit. World-scale vision-language-action (VLA) models are the new frontier in AI for autonomous driving and robotics, enabling systems to perceive, reason and act in complex real-world environments.… “Porting and Optimizing Advanced Vision-Language-Action

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

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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BrainChip Unveils Communication Reference Platform, Fueling Signal Intelligence at the Edge

LAGUNA HILLS, Calif. – June 23, 2026 – BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, BCHPY), the first commercial producer of neuromorphic artificial intelligence technology, today announced the Akida Communication Reference Platform, a physical development platform for RF signal classification using BrainChip’s Akida AKD1500 neuromorphic processor. The platform is a critical tool for defense contractors and government agencies

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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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PO Box #4446
Walnut Creek, CA 94596

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