How #videogames# led to an incredible leap in #engineering#: What are #DigitalTwins#, and why are they crucial to the #builtenvironment#? Find out more in our latest #BHSandbox# episode, ‘Digital by Design: From #gaming# to virtual buildings'. Listen below🎙️

The difficulty in building a package digital twin goes beyond creating accurate electrical, thermal, or mechanical models. #semiconductor# #advancedpackaging# #digitaltwins# #chiplets# #semiocnductormanufacturing#

Industrial digital twins are helping shape the future of physical AI in manufacturing.🏭 At #NVIDIAGTC# Berlin, hear from the leaders bringing simulation, agentic AI, robotics, and autonomous systems from concept to the factory floor. Don't miss: 👉 Building Europe’s Industrial Future with NVIDIA’s Open Physical AI Platform 👉 Automation Meets Autonomy: Europe’s Next Era of Robotics - Agile Robots, @dexoryHQ, @wandelbots 👉 Building the Automotive Physical AI Playbook: Factory Robotics and Autonomous Vehicles - @MercedesBenz 🔗

From Digital Twins to Data Engine: Cutting the Real-Data Burden with Sim-Powered Robot Learning Teaching a robot a new task could take hundreds of teleoperated demonstrations. For foundation models, adapting to an entirely new robot can cost orders of magnitude more — dedicated hardware, trained operators, months of engineering. On @boosterobotics' dual-arm robot, we studied this at two levels: ✱ Specialist: Can task-aligned simulation mixed with a small set of real demonstrations reduce the real-data burden? ✅ Yes. With only 10 real demos, the policy made no contact at all in physical rollouts (0/20). Adding 50 simulated trajectories brought contact to 17/20. ✱ Foundation: Can data accumulated across tasks build a reusable starting point (a Booster-specific model prior)? ✅ Yes. After full-parameter continued pretraining, a model adapted with just 30 demonstrations per task beat the original given twice as many: 14/16 vs 10/16 in simulated evaluation. Before any task-specific adaptation, in zero-shot simulation, it was already roughly 3× closer to the target (17.27 cm → 5.78 cm). This work runs on Axis Suite, our Physical AI solution across different robot embodiments. Distributed contributors generate task-aligned sim data on Axis Hub at scale, reducing real-data needs for specialist adaptation while powering cross-embodiment generalist training. Read the full blog:

Simulating Humanity: 85% accurate digital twins, behavioral foundation models, social physics, & 8 billion agents @simile_ai CEO @joon_s_pk explains how AI can move from predicting what people will do to simulating how to shape outcomes, why today’s frontier models still miss how humans actually behave, how digital twins reproduced people with 85% accuracy, why human biases and mistakes have to be learned rather than optimized away, and what it would take to eventually simulate all 8 billion people on Earth.

We recently won an award at the #CIBSE# SDE Awards for a #digitaltwin# of a #lowcarbon# bridge. This example is discussed in our latest 'Sandbox' episode... Watch the video below to see this Digital Twin example in detail, and find the full episode on all #podcast# platforms.

Turba Labs, which develops tech for optimizing AI infrastructure by creating digital twins of data centers, emerges from stealth with $52M seed and Series A (@sarahklearman / Wall Street Journal) (Visit Techmeme dot com for the link and full context!)