APPLICATIONS

Free Webinar on How Multimodal Sensing Enables Physical AI

On October 8, 2026 at 9 am PT (noon ET), Peter Labaziewicz, Business & Strategy Executive, and Tom Mayo, Product Manager for Radar, at D3 Embedded, will present the free hour webinar “How Multimodal Sensing Enables Physical AI: Combining Intelligent Imaging and mmWave Radar,” organized by the Edge AI and Vision Alliance. Here’s the description, […]

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Upcoming Workshop on Building Robotic Vision Systems

On August 19, 2026 at 9:00 am PT (12:00 pm ET), e-con Systems will present the webinar “The Robotic Vision Decisions that are Hardest to Undo & What to Get Right in 2026.” A session will also be hosted for Europe attendees August 20, 2026 at 11:00 am CET. Here’s the description, from the event

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In-Cabin Image Quality Testing

This blog post was originally published at Image Engineering’s website. It is reprinted here with the permission of Image Engineering. As the automotive industry continues its path toward full automation, one area of focus has become the in-cabin monitoring systems, often referred to as driver and occupant monitoring systems (DMS/OMS). These systems use cameras and sensors

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BrainChip Partners With Orama.AOI For AI-Fueled Defect Detection

Assessing tire defects is another use case in the market for neuromorphic AI chip solutions LAGUNA HILLS, CA, UNITED STATES, August 13, 2026 /EINPresswire.com/ — A global leader in ultra-low power, fully digital, event-based neuromorphic AI, today announced a partnership with Atlanta-based Orama.AOI, which has retrained and optimized BrainChip’s Akida models using its industrial inspection

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Upcoming Webinar on AR, VR, and MR from SPIE

On September 10, 2026 at 9:00 am PT (12:00 ET), SPIE will present the webinar “SPIE AR, VR, MR monthly Fireside Chat with FlexEnable.” Here’s the description, from the event registration page: Each month, hosts Bernard Kress from Google, Christophe Peroz from Google Zurich, and Grace Lee from Mojo Vision interview key leaders to explore

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Physical AI: Bridging Silicon, Software, and the Real World

This blog post was originally published at Synopsys’s website. It is reprinted here with the permission of Synopsys.   AI is quickly emerging from its digital confines as something new: physical AI. This evolving incarnation pushes beyond the realm of information — code, text, images, video — and enables machines to sense, decide, and act in the

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NVIDIA Alpamayo 2 Super, the Frontier Open Model for Robotaxis and Autonomous Vehicles, Now Available for Commercial Use

Open commercial licensing, benchmark‑leading reasoning and inspectable decisions bring autonomous vehicles, including robotaxis, closer to production and widescale deployment.   This news blog was originally published at NVIDIA’ website. It is reprinted here with the permission of NVIDIA.   For robotaxis and other autonomous vehicles (AVs), the hardest problems aren’t the everyday scenarios. They’re the rare, complex situations that

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“Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond,” a Presentation from Cadence

Amit Kumar, Director of Product Management and Marketing at Cadence and Amit Sulakhe, Director in the Vision Group at Cadence Pune present “Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond” at the May 2026 Embedded Vision Summit. Reliable localization and mapping are foundational for autonomous vehicles… “Exploring Radar SLAM: Advancing Localization

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What are the Key Engineering Challenges in Autonomous Docking Systems and How are they Solved? (Part 2)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Designing an ROS 2-based autonomous docking system is only half the story. Deploying it in the real world is another matter entirely. Since real industrial environments don’t cooperate with textbook assumptions, understanding these challenges will help

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Seeing the Invisible: How Advanced AFEs Give Robots True Self Awareness

This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. If cameras, LiDAR and IMUs are a robot’s eyes and inner ear, then precision analog measurement is its “sense of self”, the quiet awareness of currents, strains and temperatures that tell you how the machine

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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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Walnut Creek, CA 94596

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