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“Self-Compression for Edge Inference,” a Presentation from Imagination Technologies

Algorithms & Models, Edge AI and Vision Alliance, Imagination Technologies, Summit 2026, Videos /

James Imber, Director of Research at Imagination Technologies presents “Self-Compression for Edge Inference” at the May 2026 Embedded Vision Summit. Self-compression is a quantization-aware training technique to reduce neural network size and optimize performance for edge inference. By learning optimal bit depths for weights and activations during training, self-compression achieves… “Self-Compression for Edge Inference,” a […]

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“Introduction to Simultaneous Localization and Mapping: From Block Diagrams to Real Systems,” a Presentation from eInfochips (an Arrow company)

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

Amit Gupta, Associate Director–Solution Architecture and Head of Robotics CoE at eInfochips (an Arrow company) presents “Introduction to Simultaneous Localization and Mapping: From Block Diagrams to Real Systems” at the May 2026 Embedded Vision Summit. Simultaneous localization and mapping (SLAM) is the core capability that allows robots and autonomous systems… “Introduction to Simultaneous Localization and

“Introduction to Simultaneous Localization and Mapping: From Block Diagrams to Real Systems,” a Presentation from eInfochips (an Arrow company) Read More +

“Understanding Transformers: From LLMs to Context-Aware Multimodal Models,” a Presentation from Synopsys

Algorithms & Models, Edge AI and Vision Alliance, LLMs, Summit 2026, Synopsys, Videos /

Tom Michiels, System Architect at Synopsys presents “Understanding Transformers: From LLMs to Context-Aware Multimodal Models” at the May 2026 Embedded Vision Summit. Transformers have become the foundation of modern AI, reshaping how products are built and how businesses operate. In this talk Michiels explains why transformers replaced earlier models, what… “Understanding Transformers: From LLMs to

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“Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond,” a Presentation from Cadence

Algorithms & Models, Automotive, Cadence, Edge AI and Vision Alliance, Robotics, Summit 2026, Videos /

Amit Kumar, Director of Product Management and Marketing at Cadence and Amit Sulakhe, Director in the Vision Group at Cadence Pune present “Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond” at the May 2026 Embedded Vision Summit. Reliable localization and mapping are foundational for autonomous vehicles… “Exploring Radar SLAM: Advancing Localization

“Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond,” a Presentation from Cadence Read More +

“Vision-Language Models in Practice: Architecture and Performance,” a Presentation from AMD

Algorithms & Models, AMD, Edge AI and Vision Alliance, Summit 2026, Videos, VLMs /

Rajy Rawther, PMTS Software Architect at AMD presents “Vision-Language Models in Practice: Architecture and Performance” at the May 2026 Embedded Vision Summit. Unimodal vision systems are powerful but limited when users need flexible queries, richer semantics or reasoning that combines images/video with language. Vision-language models (VLMs) address this gap by… “Vision-Language Models in Practice: Architecture

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“Small Language Models for Edge AI: Trade-Offs and Quantization in Practice,” a Presentation from AMD

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

Dwith Chenna, MTS Product Engineer, AI Inference at AMD presents “Small Language Models for Edge AI: Trade-Offs and Quantization in Practice” at the May 2026 Embedded Vision Summit. Large language models are powerful but often impractical for embedded and on-prem systems due to latency, cost, privacy and memory constraints. Small… “Small Language Models for Edge

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“From YOLO to SAM: Segmentation Models on Real Edge Hardware,” a Presentation from Au-Zone Technologies

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

Sébastien Taylor, VP of R & D at Au-Zone Technologies presents “From YOLO to SAM: Segmentation Models on Real Edge Hardware” at the May 2026 Embedded Vision Summit. Segmentation is fundamental to edge vision—from drivable surface detection to industrial inspection. But how do different approaches actually perform on resource-constrained hardware?… “From YOLO to SAM: Segmentation

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

Edge AI and Vision Alliance, Peridio, Processors, Software, Summit 2026, Tools, Videos /

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

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

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

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

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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“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, VLMs /

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

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

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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