Processors

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

Aerospace and Defense, BrainChip, News, Processors /

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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“How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU,” a Presentation from OpenMV

Edge AI and Vision Alliance, OpenMV, Processors, Sensors and Cameras, Software, Summit 2026, Videos /

Kwabena Agyeman, Joseph Nelson, President at OpenMV presents “How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU” at the May 2026 Embedded Vision Summit. Running computer vision on microcontrollers is becoming practical thanks to MCUs that integrate NPUs, enabling low-latency inference with tight… “How to Train an AI

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Upcoming Workshop on Data-centric Software-defined Vehicle Systems

Automotive, News, Processors, Software, Tools /

On July 9-10, 2026 at 11:00 am PDT (2:00 pm EDT), NXP partner ITTIA will present the online workshop “Building Data-Centric SDV Systems on NXP S32 Automotive Processing Platform.” Workshop sessions will also be hosted for Europe attendees June 29-30, 2026 at 3:00 pm CET, and for Asia attendees July 7-9, 2026 at 9:00 am

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Free Webinar On Always-On Edge Perception via Near-memory Compute

Algorithms & Models, FotoNation, News, Processors, Software, Webinar /

Update: This Webinar has been rescheduled for September 22 at the same time. It was originally scheduled for September 24, 2026. On September 22, 2026 at 9 am PT (noon ET), Petronel Bigioi, CEO at FotoNation, will present the free hour webinar “Always-On Edge Perception Via a Heterogeneous Near-Memory AI Architecture,” organized by the Edge

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“No RISC, No Reward: Unlocking Extreme Efficiency in Physical AI with RISC-V,” a Presentation from MIPS, a GlobalFoundries company

Algorithms & Models, Edge AI and Vision Alliance, MIPS, Processors, Summit 2026, Videos /

Mayank Mangla, AI Product Manager and Systems Architect at MIPS, a GlobalFoundries company presents “No RISC, No Reward: Unlocking Extreme Efficiency in Physical AI with RISC-V” at the May 2026 Embedded Vision Summit. Deployment of neural networks at the edge is often constrained by the rigidity and integration cost of… “No RISC, No Reward: Unlocking

“No RISC, No Reward: Unlocking Extreme Efficiency in Physical AI with RISC-V,” a Presentation from MIPS, a GlobalFoundries company Read More +

Edge AI Optimization: Why Performance at the Edge Is Harder Than It Looks.

Algorithms & Models, Blog Posts, Geisel Software, Processors /

There’s a significant gap between running an AI model on a server and deploying it effectively to constrained edge hardware in the field. A look at the optimization challenges most teams underestimate.   This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Edge AI is

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“Always-On Edge Perception Via a Heterogeneous Near-Memory AI Architecture,” a Presentation from FotoNation

Algorithms & Models, Edge AI and Vision Alliance, FotoNation, Processors, Summit 2026, Videos /

Petronel Bigioi, CEO at FotoNation presents “Always-On Edge Perception Via a Heterogeneous Near-Memory AI Architecture” at the May 2026 Embedded Vision Summit. Always-on perception is becoming a defining capability of next-generation edge devices, from AR glasses and hearables to battery-operated sensors. Yet continuous audio/video and motion understanding runs into two… “Always-On Edge Perception Via a

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Thermal-Aware Testing Strategies for Next-Gen Semiconductor Devices

Blog Posts, Processors, Tessolve /

This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. As semiconductor devices continue to scale down in size and ramp up in performance, one challenge stands out above many others: thermal behavior. Heat isn’t just a byproduct of activity in modern chips; it’s one of the pivotal

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“From Compute-Bound to Memory-Bound: Edge AI Architectures for VLMs,” a Presentation from Expedera

Algorithms & Models, Edge AI and Vision Alliance, Expedera, Processors, Software, Summit 2026, Videos /

Athish Rahul Rao, Staff Software Engineer at Expedera presents “From Compute-Bound to Memory-Bound: Edge AI Architectures for VLMs” at the May 2026 Embedded Vision Summit. Today’s edge AI hardware was built for CNNs, but vision language models (VLMs) have completely different bottlenecks—especially in safety-critical, latency-sensitive applications like in-cabin automotive intelligence.… “From Compute-Bound to Memory-Bound: Edge

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“Navigating Physical AI Deployment Across Multiple Platforms for Automated Optical Inspection,” a Presentation from eInfochips (an Arrow company)

Algorithms & Models, Edge AI and Vision Alliance, eInfochips, Industrial Vision (Computer Vision), Processors, Summit 2026, Tools, Videos /

Barrie Mullins, Assistant Vice President at eInfochips (an Arrow company) presents “Navigating Physical AI Deployment Across Multiple Platforms for Automated Optical Inspection” at the May 2026 Embedded Vision Summit. As automated optical inspection moves from the server room to the factory floor, the promise of “seamless” AI deployment often hits… “Navigating Physical AI Deployment Across

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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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