All articles tagged with #digital twins
Physical AI blends autonomous hardware with AI to enable learning, adaptation and collaboration in varied environments, expanding robotics from assembly lines to healthcare, logistics and beyond. Success depends on high-quality data (often synthetic), advanced simulation and models, and redesigned workflows, with pilots from Amazon, Siemens, Foxconn and others signaling a broad shift toward flexible, human–robot collaboration.
Siemens and NVIDIA are expanding their partnership to develop an Industrial AI operating system, aiming to revolutionize the entire industrial value chain with AI-driven solutions, including AI-native design, simulation, and adaptive manufacturing, starting with the goal of creating fully AI-driven factories by 2026.
SpAItial AI has developed Echo, an AI model that can convert 2D images or text prompts into explorable, editable 3D worlds in real time, with potential applications in design, simulation, and digital twins, all accessible via browser and capable of scene editing and restyling.
NVIDIA and Synopsys have announced a strategic partnership involving a multiyear collaboration and a $2 billion investment by NVIDIA to integrate AI and GPU-accelerated computing into engineering solutions, aiming to revolutionize design, simulation, and verification processes across various industries through digital twins, agentic AI, and cloud solutions.
Samsung is partnering with Nvidia to build an AI-enabled semiconductor manufacturing plant that will embed AI throughout its operations, using digital twins and advanced robotics to boost efficiency, quality, and innovation in chip production and beyond.
Sedaro, a digital engineering software startup, has been awarded a $1.5 million contract by the Space Force to demonstrate the use of digital twins in spacecraft design. The project aims to model in-space servicing, assembly, and manufacturing (ISAM) scenarios using Sedaro's cloud-based platform. Sedaro will collaborate with Space Dynamics Laboratory and Draper Labs to inform the design of new features for ISAM technology. The goal is to develop digital twin software that accelerates and improves ISAM technology development and deployment, reducing the need for physical prototyping and testing.