Algorithms & Models

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

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

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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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

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

“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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“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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How to Overcome Vision Challenges While Building a Multi-Robot Mapping System (Part 2)

Algorithms & Models, Blog Posts, e-con Systems, Robotics, Software, Tools /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In part 1 of this series, you explored why multi-robot autonomous mapping is becoming essential for large-scale facilities and what the core components of a modern multi-robot mapping system are. But knowing what a system should

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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

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

“Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes,” a Presentation from Synetic

Algorithms & Models, Edge AI and Vision Alliance, Summit 2026, Synetic AI, Tools, Videos /

David Scott, Founder and CEO at Synetic presents “Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes” at the May 2026 Embedded Vision Summit. Most edge vision deployments fail not because of model architecture, but because real-world training data is structurally incomplete. Sampled data can’t cover combinatorial edge… “Why Edge Vision Models Keep

“Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes,” a Presentation from Synetic Read More +

Free Webinar Highlights Compelling Advantages of Synthetic Data

Algorithms & Models, News, Synetic AI, Webinar /

On August 11, 2026 at 9 am PT (noon ET), Synetic AI’s Founder and CEO David Scott, will present the free hour webinar “Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Most edge vision deployments fail

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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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