Enabling Technologies

“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presentation from BrainChip

Tony Lewis, Chief Technology Officer at BrainChip, presents the “State-space Models vs. Transformers for Ultra-low-power Edge AI” tutorial at the May 2025 Embedded Vision Summit. At the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In… “State-space Models vs. Transformers for […]

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“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation from Qualcomm

Ning Bi, Vice President of Engineering at Qualcomm Technologies, presents the “How Qualcomm Is Powering AI-driven Multimedia at the Edge” tutorial at the May 2025 Embedded Vision Summit. In this talk, Bi explores the evolution of multimedia processing at the edge, from simple early use cases such as audio and… “How Qualcomm Is Powering AI-driven

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“Rapid Development of AI-powered Embedded Vision Solutions—Without a Team of Experts,” a Presentation from Network Optix

Marcel Wouters, Senior Software Engineer at Network Optix, presents the “Rapid Development of AI-powered Embedded Vision Solutions—Without a Team of Experts” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Wouters shows how developers new to AI can quickly and easily create embedded vision solutions that extract valuable… “Rapid Development of AI-powered Embedded

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“OAAX: One Standard for AI Vision on Any Compute Platform,” a Presentation from Network Optix

Robin van Emden, Senior Director of Data Science at Network Optix, presents the “OAAX: One Standard for AI Vision on Any Compute Platform” tutorial at the May 2025 Embedded Vision Summit. OAAX, an open accelerator compatibility standard being developed under the Linux Foundation AI & Data project, is key to… “OAAX: One Standard for AI

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“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Useful Sensors

Pete Warden, CEO of Useful Sensors, presents the “Deploying Large Language Models on a Raspberry Pi,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Warden outlines the key steps required to implement a large language model (LLM) on a Raspberry Pi. He begins by outlining the motivations for running LLMs on the

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“How to Run Audio and Vision AI Algorithms at Ultra-low Power,” a Presentation from Synaptics

Deepak Mital, Senior Director of Architectures at Synaptics, presents the “How to Run Audio and Vision AI Algorithms at Ultra-low Power” tutorial at the May 2024 Embedded Vision Summit. Running AI algorithms on battery-powered, low-cost devices requires a different approach to designing hardware and software. The power requirements are stringent at standby, but the device

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“Meeting the Critical Needs of Accuracy, Performance and Adaptability in Embedded Neural Networks,” a Presentation from Quadric

Aman Sikka, Chief Architect at Quadric, presents the “Meeting the Critical Needs of Accuracy, Performance and Adaptability in Embedded Neural Networks” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Sikka explores the challenges of accuracy and performance when implementing quantized machine learning inference algorithms on embedded systems. He explains how the thoughtful

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“Build a Tiny Vision Application in Minutes with the Edge App SDK,” a Presentation from Midokura, a Sony Group Company

Dan Mihai Dumitriu, Chief Technology Officer at Midokura, a Sony Group company, presents the “Build a Tiny Vision Application in Minutes with the Edge App SDK” tutorial at the May 2024 Embedded Vision Summit. In the fast-paced world of embedded vision applications, moving rapidly from concept to deployment is crucial. In this presentation, Dumitriu introduces

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“The Importance of Memory for Breaking the Edge AI Performance Bottleneck,” a Presentation from Micron Technology

Wil Florentino, Senior Marketing Manager for Industrial/IIoT at Micron Technology, presents the “Importance of Memory for Breaking the Edge AI Performance Bottleneck” tutorial at the May 2024 Embedded Vision Summit. In recent years there’s been tremendous focus on designing next-generation AI chipsets to improve neural network inference performance. As higher performance processors are called upon

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“Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” a Presentation from Intel

Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit. AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is

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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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