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 […]
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. From Connectivity Standards Alliance’s Matter™ and Aliro™ to Biometric Authentication The growing demand for secure, easy-to-use, and seamlessly integrated access solutions is driving smart locks to the forefront of residential and commercial access control. Expansion of smart home
Addressing Technical Challenges in Next-Gen Smart Lock Design Read More +
This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. Autonomous manufacturing can be achieved through a structured journey built on foundational engineering, converged data and human-led AI Key takeaways Autonomous manufacturing is the natural evolution of automation, engineering and AI. It is already here in parts,
This case study was originally published at TDK SensEI’s website. It is reprinted here with the permission of TDK SensEI. Introduction In the competitive world of elevator manufacturing and maintenance, minimizing downtime and ensuring the reliability of elevator systems is crucial. Traditional maintenance methods often fall short in predicting and preventing issues before they occur.
Case Study: edgeRX -Transforming Elevator Maintenance with Edge AI Read More +
This blog post was originally published at V-Nova’s website. It is reprinted here with the permission of V-Nova. In Industrial and Defense environments, I hear the same story. More cameras. Higher resolutions. Stricter latency targets. Infrastructure that cannot be replaced easily. And increasing pressure around storage, bandwidth, compute, and privacy. This is why MPEG-5 LCEVC is becoming even more relevant. It improves compression
MPEG-5 LCEVC: A practical shift for industrial AI video pipelines Read More +
Katia Obraczka, Professor of Computer Science and Engineering, University of California, Santa Cruz, Pranay Kocheta, Lexington High School, and Nayan Bhatia, University of California, Santa Cruz present the “Non-Contact Vital Sign Monitoring Using Low-Cost WiFi Devices” tutorial at the December 2025 Edge AI and Vision Innovation Forum.
Highlights: High performance solutions: Bosch and Qualcomm aim to make ADAS solutions for enhanced safety and comfort available to everyone. Continued Business Momentum: Collaboration has secured significant new business wins for both next-generation ADAS and cockpit solutions. Proven Global Success: Bosch delivers over 10 million cockpit computers powered by Snapdragon® Cockpit Platforms. Global Market Penetration:
Bosch and Qualcomm Expand Collaboration to Strategic ADAS Solutions Read More +
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
This blog post was originally published at Infineon’s website. It is reprinted here with the permission of Infineon. Across home, retail, and industry, devices that once followed simple rules are now expected to understand people and context. A thermostat shouldn’t just follow a schedule; it should know if anyone is in the room and choose the preferred
From Connected to Aware: How PSOC™ Edge Enables the Next Wave of Smart Devices Read More +
This blog post was originally published at AMD’s website. It is reprinted here with the permission of AMD. This blog showcases how to deploy power-efficient Ryzen AI perception models with ROS 2 – the Robot Operating System. We utilize the Ryzen AI Max+ 395 (Strix-Halo) platform, which is equipped with an efficient Ryzen AI NPU and
Building Robotics Applications with Ryzen AI and ROS 2 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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