NCore’s interactive 3D viewer showing camera frustums with images, lidar point clouds, 3D cuboid bounding boxes, and rig trajectory from an autonomous vehicle sequence. This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Autonomous vehicles, robotics, and broader physical AI research all depend on multi-sensor recordings—cameras, […]
Thibault Castells, Research Engineer at Nota AI, demonstrates the company’s latest edge AI and vision technologies at the 2026 Embedded Vision Summit. Specifically, Castells demonstrates newly updated NetsPresso, Nota AI’s AI model optimization platform, which now features an agentic optimization loop that automates the entire optimization pipeline. NetsPresso supports optimization across edge and server environments,
Nota AI Demonstration of NetsPresso Agentic Optimization Platform Read More +
Arthur You, Global Sales Manager at NAMUGA, demonstrates the company’s LiDAR: Stella120 and 180 wide-angle solid-state LiDAR modules at the 2026 Embedded Vision Summit. The demonstration showcases long-range sensing capabilities, wide field-of-view coverage and high-resolution environmental perception enabled by NAMUGA’s solid-state LiDAR technology. Designed for next-generation robotics, smart mobility, and industrial automation applications, the modules
NAMUGA Demonstration of the Stella120 and 180 – Wide-Angle Solid-State LiDAR Modules Read More +
LETTER FROM THE EDITOR Dear Colleague, Physical AI is moving quickly from concept to implementation, and this week’s issue looks at what it takes to make these systems work at the edge: guaranteed latency, efficient compute, robust perception and deployable software stacks. We’ll highlight technical presentations on RISC-V and embedded GPU architectures for physical
Edge AI and Vision Insights: July 22, 2026 Read More +
The next era of product engineering will be defined by 10 shifts reshaping industry leadership This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. At HCLTech, we believe product engineering has entered a more consequential era; an environment where AI, compute, energy, resilience, regulation and sovereignty
Product Engineering Trends 2026 Read More +
Arthur You, Global Sales Manager at NAMUGA, demonstrates the company’s real-time 3D body pose solution powered by an RGB+iToF camera module, along with NAMUGA’s RGB camera module designed for drone applications, at the 2026 Embedded Vision Summit. The demonstration highlights accurate real-time human pose estimation using depth-enhanced vision technology, as well as high-performance imaging capabilities
Arthur You, Global Sales Manager at NAMUGA, demonstrates the company’s Vicon Smart Access Control System at the 2026 Embedded Vision Summit. The solution combines advanced vision sensing and AI-powered recognition technologies to enable secure, convenient, and contactless access control. During the demonstration, You showcases real-time user authentication and intelligent access management capabilities, highlighting how the
NAMUGA Demonstration of the Vicon Smart Access Control System Read More +
This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Cloud AI enables features like voice assistants and recommendations via centralized data centers, but it relies on consistent network connectivity, which often fails in real-world conditions. Edge-native AI shifts inference to devices such as phones, cars, and sensors,
How To Start Building Edge-Native AI Read More +
News Summary: NVIDIA Agent Toolkit now includes NVIDIA Omniverse libraries, giving AI agents tools and skills to help software developers integrate physical AI capabilities into their existing applications. New Omniverse libraries for NVIDIA RTX sensor simulation, GPU-accelerated physics simulation and simulation-ready asset validation are openly available on GitHub. SideFX and PTC are integrating Omniverse libraries
Microchip’s FPGA Engineer, Apurva Peri, shares the VectorBlox™ Accelerator SDK solution, which offers AI/ML Inference for PolarFire® FPGAs and SoCs. This software-based implementation enables AI deployment without reprogramming the FPGA, supports sparse networks using structured and unstructured compression and provides power-efficient inference and video pipelines delivering less than 5W power consumption. This Broad AI model
Secure Edge AI, High-Speed Vision and Power-Efficient Design With VectorBlox™ Read More +
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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