Robotics

Introducing the Qualcomm Dragonwing IQ10 RRD: A full-stack robotics reference design

A robotics reference design that brings integrated hardware, software and AI tools into one deployment-ready system   Key Takeaways: The Dragonwing IQ10 Robotics Reference Design (RRD) aims to help teams move from prototype to production by combining compute, sensing, networking and software in a single deployment-ready system. The platform is designed to deliver up to […]

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Intel Core Ultra Series 3: The New Standard for Edge AI Robotics Compute

By integrating a CPU, GPU, and NPU, Intel Core Ultra Series 3 delivers edge AI power across global use cases—from hospitality and manufacturing to healthcare and education. At 2 a.m., an emergency room nurse orders a latte at a quiet hospital coffee stand. There is no human behind the counter. Instead, a sleek robotic arm

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How Customized Single-board Computers Increase the Profitability of Embedded Vision Systems

This blog post was originally published at Helbling’s website. It is reprinted here with the permission of Helbling. Artificial Intelligence is one of the defining technological trends of this decade. In particular, vision-based AI applications, where camera data is processed directly on the edge, are gaining rapid momentum. Embedded Vision systems are the backbone of these

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AMD Silo AI and University of Bologna Start Spatial AI Collaboration for Robotics and Autonomous Driving

The research collaboration will focus on building geometry-aware perception modules on the AMD ROCm™ open software stack AMD Silo AI and University of Bologna through its Department of Computer Science and Engineering (DISI) are starting a research collaboration to bring explicit 3D geometry into the Vision Language Action (VLA) and world-model pipeline for robotics and

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Upcoming Event on AI Transformation

KOTRA Silicon Valley will host “Physical AI Superconnect 2026,” on June 24, 2026, from 10:00 am to 8:00 pm PDT at the Computer History Museum in Mountain View, California. The event will feature insightful presentations, technology exhibits, matchmaking and networking. From the event page: ​M.AX: A New Era of Manufacturing AI Transformation ​​Physical AI Superconnect

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Physical AI: 8 Questions Every Engineering Leader Is Asking

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Jensen Huang called it at CES 2025: “The next frontier of AI is physical.” Since then, the phrase has been everywhere — in investor decks, conference keynotes, and vendor pitches. But for the software engineering managers, directors, VPs, and

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Everything Is Going to Be Driven by Algorithms

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. A security camera on a warehouse loading dock captures 86,400 seconds of video every day. A fleet telematics recorder on a long-haul truck accumulates gigabytes of road footage between fuel stops. A surgical robot’s stereo cameras generate

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The rise of smarter robots and why memory is becoming their superpower

This blog post was originally published at Micron Technology’s website. It is reprinted here with the permission of Micron Technology. If it feels like robots are evolving faster than ever, that’s because they are. We’re watching an industry shift in real time, from factory floors to warehouses to emerging humanoid systems, all powered by advances in

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Physical AI: From ST Sensors to a Robotics Platform, How Innovation Can Only Happen Through Collaboration

This blog post was originally published at STMicroelectronics’s website. It is reprinted here with the permission of STMicroelectronics. As technology aims to enable Physical AI, ST is sharing today how collaboration brought our sensors into a Holoscan Sensor Bridge module from Leopard Imaging, enabling developers to feed multi-modal sensing data to the NVIDIA Jetson Thor or

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Texas Instruments, D3 Embedded, Lattice and NVIDIA Show a Practical Radar-Camera Fusion Stack for Robotics

TI’s new application brief and companion demo outline how mmWave radar, camera input, FPGA-based sensor bridging and NVIDIA Holoscan can be combined into a low-latency perception pipeline for humanoids and other autonomous machines.   Texas Instruments, D3 Embedded, Lattice Semiconductor and NVIDIA are outlining a concrete radar-camera fusion stack for robotics rather than just talking

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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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PO Box #4446
Walnut Creek, CA 94596

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