All articles tagged with #digital twins
An AI-generated actor, Tilly Norwood, created by Particle6 for the film Misaligned, botched a Piers Morgan interview by misinterpreting a question about co-stars and then suddenly spoke Cantonese, a glitch that went viral and underscored ongoing backlash over AI performers and rapid AI use in entertainment.
An AI actress, Tilly Norwood, experiences a notable glitch during a Piers Morgan interview, abruptly speaking Mandarin and prompting discussion about digital twin concepts and hybrid film productions; the moment adds to ongoing debates about AI-driven content and the ethics of AI-generated performances.
AI actor Tilly Norwood, created by Xicoia of Particle6, glitchingly switched from English to Cantonese during a Piers Morgan Uncensored interview promoting the film Misaligned, prompting laughs from host Piers Morgan and guest Tom Conti; Norwood later described the moment as a harmless linguistic hiccup in her hybrid, digitally generated production.
Next-generation AI is poised to become the autonomous backbone of space exploration, enabling predictive maintenance, digital twins, autonomous mining, and on-site resource processing to support Moon and Mars settlements within roughly 2 to 15 years, while managing life-support and medical needs amid long Earth–space communications delays.
A Wall Street Journal profile of Simile shows a startup that raised $100 million to build a foundation model that creates digital clones of real people from interview data. These ‘digital twins’ can be polled or queried by researchers to derive market insights, with CVS and Gallup already involved, potentially scaling to large groups without respondent fatigue. Inspired by The Sims, the approach promises scalable, transparent insights but also sparks questions about accuracy, ethics, and whether AI-generated opinions should replace traditional polling.
Live Science interviews Dr. John Pandolfino about a 400‑person clinical trial using a mechanically accurate digital twin of the esophagus to predict the best myotomy approach for achalasia and reduce complications like diverticulum. The virtual model guides surgical decisions, could lessen or replace some animal testing, and may eventually be extended to other organs such as the heart and bladder, though a fully comprehensive, molecular‑level digital twin remains a longer‑term goal.
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.