Processors

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

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

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

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

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.

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

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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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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