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 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 +
LAGUNA HILLS, Calif. — April 6, 2026 — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of ultra-low-power, neuromorphic AI technology, today announced the launch of its Radar Reference Platform. This fully validated hardware and AI stack is designed to provide real-time object classification at the edge, solving the critical “identification gap” that limits traditional radar
BrainChip Unveils Radar Reference Platform to Bridge the ‘Identification Gap’ in Edge AI Read More +
We’re excited to announce Intel’s strategic partnership with Google to deliver optimized Gemma 4 models on Intel hardware from day one. This collaboration enables developers to leverage the power of Google’s latest AI models on Intel hardware: Intel® Core™ Ultra processors, Intel® Xeon® CPUs, and Intel® Arc™ GPUs. Developers can create AI applications that run
Gemma 4 Models Optimized for Intel Hardware: Enabling Instant Deployment from Day Zero Read More +
On April 15, 2026, at 9:00 pm PDT (12:00 pm EDT) NVIDIA will deliver a webinar “Unlock Real-Time Physical AI for the Industrial Edge” From the event page: Join us to learn how IGX Thor’s Blackwell-powered architecture is powering autonomous robots, surgical systems, and high-performance industrial automation at the edge. NVIDIA experts will walk through
Upcoming Webinar on NVIDIA IGX Thor Read More +
This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Artificial intelligence is entering a new phase where models interpret contextual data whilst interacting with the physical world in real time. At Analog Devices, Inc. (ADI), we call this Physical Intelligence: intelligent systems that can perceive, reason
2026: The Year Intelligence Gets Physical Read More +
This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. High Dynamic Range (HDR) imaging has become a standard feature in modern cameras, from smartphones to automotive and surveillance systems. While daytime HDR is already a complex task, nighttime HDR introduces a completely different level of difficulty. The same
Why Night HDR Is More Challenging Than Daytime HDR Read More +
I’ve been using AI-assisted coding for my work a lot recently, and I’ll admit, I wasn’t sure how I felt about it. Was I cheating? How do I know it’s right? Do I admit to using it? Looking at how software development has evolved over time helped answer those questions and led to a few
AI-Assisted Coding: The Next Step in Abstraction Read More +
News Summary: T-Mobile pilots NVIDIA RTX PRO 6000 Blackwell Server Edition AI infrastructure to demonstrate physical AI applications at the edge, complementing the AI-RAN Innovation Center’s distributed network Physical AI developers including Fogsphere, LinkerVision, Levatas, Vaidio and Siemens Energy are building reasoning and vision AI agents to the edge using the NVIDIA Metropolis Blueprint for
News Summary: Physical AI leaders across robot brain developers, industrial, and surgical robot giants and humanoid pioneers including ABB Robotics, AGIBOT, Agility, CMR Surgical, FANUC, Figure, Hexagon Robotics, KUKA, Medtronic, Skild AI, Universal Robots, World Labs and YASKAWA are building on NVIDIA technology to develop and deploy physical AI at scale. NVIDIA unveils new NVIDIA
NVIDIA and Global Robotics Leaders Take Physical AI to the Real World 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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