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

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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AI at the Edge: The Next Gold Rush

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. Generative AI has ushered in a new era of technological progress, reminiscent of the rise of the internet in the 1990s. Beyond the impressive chatbots we’re now used to, the constant flow of innovation has introduced new

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“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 Future of Visual AI:

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Akida Exploits Sparsity For Low Power in Neural Networks

This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. In the rapidly evolving field of artificial intelligence, edge computing has become increasingly vital for deploying intelligent systems in real-world environments where power, latency, and bandwidth are limited: we need neural network models to run efficiently. For

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5 Key Questions about Synthetic Data Every Data Scientist Should Know

This blog post was originally published at Geisel Software’s Symage website. It is reprinted here with the permission of Geisel Software. In this article, we tackle the 5 key questions about synthetic data that every data scientist must understand to stay ahead in the rapidly evolving world of AI. From its creation process to its

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Snapdragon Ride: A Foundational Platform for Automakers to Scale with the ADAS Market

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The automotive industry is well into the transformation of vehicle architectures and consumer-driven experiences. As the demand for advanced driver assistance systems (ADAS) technologies continues to soar, Qualcomm Technologies’ cutting-edge Snapdragon Ride Platforms are setting a new standard for automotive

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“The New OpenCV 5.0: Added Features, Performance Improvements and Future Directions,” a Presentation from OpenCV.org

Satya Mallick, CEO of OpenCV.org, presents the “New OpenCV 5.0: Added Features, Performance Improvements and Future Directions” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Mallick delves into the latest version of OpenCV, the world’s most popular open-source computer vision library. He highlights the major innovations and… “The New OpenCV 5.0: Added

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Maximize Robotics Performance by Post-training NVIDIA Cosmos Reason

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. First unveiled at NVIDIA GTC 2025, NVIDIA Cosmos Reason is an open and fully customizable reasoning vision language model (VLM) for physical AI and robotics. The VLM enables robots and vision AI agents to reason using prior

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“Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization,” a Presentation from NXP Semiconductors

Robert Cimpeanu, Machine Learning Software Engineer at NXP Semiconductors, presents the “Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Cimpeanu explains two neural network quantization techniques, quantization-aware training (QAT) and post-training quantization (PTQ), and explain when to… “Introduction to Shrinking Models with

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Implementing Multimodal GenAI Models on Modalix

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. It has been our goal since starting SiMa.ai to create one software and hardware platform for the embedded edge that empowers companies to make their AI/ML innovations come to life. With the rise of Generative AI already

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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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