Multimodal

“Building Agentic Applications for the Edge,” a Presentation from GMAC Intelligence

Algorithms & Models, Edge AI and Vision Alliance, Multimodal, Software, Summit 2025, Tools, Videos /

Amit Mate, Founder and CEO of GMAC Intelligence, presents the “Building Agentic Applications for the Edge” tutorial at the May 2025 Embedded Vision Summit. Along with AI agents, the new generation of large language models, vision-language models and other large multimodal models are enabling powerful new capabilities that promise to transform industries. In this talk, […]

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Build High-performance Vision AI Pipelines with NVIDIA CUDA-accelerated VC-6

Blog Posts, Multimodal, NVIDIA /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The constantly increasing compute throughput of NVIDIA GPUs presents a new opportunity for optimizing vision AI workloads: keeping the hardware fed with data. As GPU performance continues to scale, traditional data pipeline stages, such as I/O from

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“Enabling Ego Vision Applications on Smart Eyewear Devices,” a Presentation from EssilorLuxottica

Algorithms & Models, Edge AI and Vision Alliance, Memory, Multimodal, Processors, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

Francesca Palermo, Research Principal Investigator at EssilorLuxottica, presents the “Enabling Ego Vision Applications on Smart Eyewear Devices” tutorial at the May 2025 Embedded Vision Summit. Ego vision technology is revolutionizing the capabilities of smart eyewear, enabling applications that understand user actions, estimate human pose and provide spatial awareness through simultaneous localization and mapping (SLAM). This

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LLiMa: SiMa.ai’s Automated Code Generation Framework for LLMs and VLMs for <10W

Algorithms & Models, Blog Posts, Multimodal, Processors, SiMa.ai, Software, Tools /

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. In our blog post titled “Implementing Multimodal GenAI Models on Modalix”, we describe how SiMa.ai’s MLSoC Modalix enables Generative AI models to be implemented for Physical AI applications with low latency and low power consumption.  We implemented

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“Improving Worksite Safety with AI-powered Perception,” a Presentation from Arcure

Algorithms & Models, Edge AI and Vision Alliance, Multimodal, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

Sabri Bayoudh, Chief Innovation Officer at Arcure, presents the “Improving Worksite Safety with AI-powered Perception” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Bayoudh explores how embedded vision is being used in industrial applications, including vehicle safety and production. He highlights some of the challenging requirements of these applications, including the need

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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

Algorithms & Models, Edge AI and Vision Alliance, Memory, Multimodal, Processors, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

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,

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“A View From the 2025 Embedded Vision Summit (Part 2),” a Presentation from the Edge AI and Vision Alliance

Algorithms & Models, Edge AI and Vision Alliance, Memory, Multimodal, Processors, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2025 Embedded Vision Summit on May 22, 2025. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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“A View From the 2025 Embedded Vision Summit (Part 1),” a Presentation from the Edge AI and Vision Alliance

Algorithms & Models, Edge AI and Vision Alliance, Memory, Multimodal, Processors, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2025 Embedded Vision Summit on May 21, 2025. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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NVIDIA Blackwell-powered Jetson Thor Now Available, Accelerating the Age of General Robotics

Multimodal, News, NVIDIA, Processors, Robotics, Tools /

News Summary: NVIDIA Jetson AGX Thor developer kit and production modules, robotics computers designed for physical AI and robotics, are now generally available. Over 2 million developers are using NVIDIA’s robotics stack, with Agility Robotics, Amazon Robotics, Boston Dynamics, Caterpillar, Figure, Hexagon, Medtronic and Meta among early Jetson Thor adopters. Jetson Thor, powered by NVIDIA

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

Algorithms & Models, Edge AI and Vision Alliance, Memory, Multimodal, Processors, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

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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