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On-Device LLMs in 2026: What Changed, What Matters, What’s Next

Editor’s note: Vikas Chandra is one of the keynote speakers for the 2026 Embedded Vision Summit. Check out his upcoming keynote “Scaling Down is the New Scaling Up here. The Embedded Vision Summit runs May 11-13, 2026 in Santa Clara, California. In On-Device LLMs: State of the Union, 2026, Vikas Chandra and Raghuraman Krishnamoorthi explain […]

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Getting Started with Edge AI on NVIDIA Jetson: LLMs, VLMs, and Foundation Models for Robotics

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Running advanced AI and computer vision workloads on small, power-efficient devices at the edge is a growing challenge. Robots, smart cameras, and autonomous machines need real-time intelligence to see, understand, and react without depending on the cloud. The NVIDIA

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“Depth Estimation from Monocular Images Using Geometric Foundation Models,” a Presentation from Toyota Research Institute

Rareș Ambruș, Senior Manager for Large Behavior Models at Toyota Research Institute, presents the “Depth Estimation from Monocular Images Using Geometric Foundation Models” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Ambruș looks at recent advances in depth estimation from images. He first focuses on the ability… “Depth Estimation from Monocular Images

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“Introduction to DNN Training: Fundamentals, Process and Best Practices,” a Presentation from Think Circuits

Kevin Weekly, CEO of Think Circuits, presents the “Introduction to DNN Training: Fundamentals, Process and Best Practices” tutorial at the May 2025 Embedded Vision Summit. Training a model is a crucial step in machine learning, but it can be overwhelming for beginners. In this talk, Weekly provides a comprehensive introduction… “Introduction to DNN Training: Fundamentals,

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“Introduction to Deep Learning and Visual AI: Fundamentals and Architectures,” a Presentation from eBay

Mohammad Haghighat, Senior Manager for CoreAI at eBay, presents the “Introduction to Deep Learning and Visual AI: Fundamentals and Architectures” tutorial at the May 2025 Embedded Vision Summit. This talk provides a high-level introduction to artificial intelligence and deep learning, covering the basics of machine learning and the key concepts of deep learning. Haghighat explores

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“Vision-based Aircraft Functions for Autonomous Flight Systems,” a Presentation from Acubed (an Airbus Innovation Center)

Arne Stoschek, Vice President of AI and Autonomy at Acubed (an Airbus innovation center), presents the “Vision-based Aircraft Functions for Autonomous Flight Systems” tutorial at the May 2025 Embedded Vision Summit. At Acubed, an Airbus innovation center, the mission is to accelerate AI and autonomy in aerospace. Stoschek gives an overview of vision systems for

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“Edge AI and Vision at Scale: What’s Real, What’s Next, What’s Missing?,” An Embedded Vision Summit Expert Panel Discussion

Sally Ward-Foxton, Senior Reporter at EE Times, moderates the “Edge AI and Vision at Scale: What’s Real, What’s Next, What’s Missing?” Expert Panel at the May 2025 Embedded Vision Summit. Other panelists include Chen Wu, Director and Head of Perception at Waymo, Vikas Bhardwaj, Director of AI in the Reality Labs at Meta, Vaibhav Ghadiok,

“Edge AI and Vision at Scale: What’s Real, What’s Next, What’s Missing?,” An Embedded Vision Summit Expert Panel Discussion Read More +

“The Future of Visual AI: Efficient Multimodal Intelligence,” a Keynote Presentation from Trevor Darrell

Trevor Darrell, Professor at the University of California, Berkeley, presents the “Future of Visual AI: Efficient Multimodal Intelligence” tutorial at the May 2025 Embedded Vision Summit. AI is on the cusp of a revolution, driven by the convergence of several breakthroughs. One of the most significant of these advances is the development of large language

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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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