TAG
#simulation
Stories connected through a shared idea, actor, technology or theme.
NVIDIA adds cuPotential for AI-driven semiconductor simulationThe new cuPotential library lets AI agents simulate atomic and molecular interactions, with NVIDIA reporting an additional 2–3x acceleration in early-access testing. NVIDIA also reported major simulation and inspection speedups among semiconductor-industry adopters.→Valeo and KE:SAI launch an open autonomous-driving research collaborationThe collaboration will use reinforcement learning in simulation and trained world models to expose systems to rare and safety-critical driving situations. The partners said they plan to release the code, trained models and datasets as open source.→Primitive Labs receives Sony backing for models of human behaviourInstinct is designed to model customer populations and simulate how people interact with digital products before launch. Primitive Labs says the system aims to make behavioural modelling a reusable layer in software and product decisions.→Future AGI 1.47.1 improves simulation analytics for agent evaluationThe release improves cached serving for the v3 calls page and updates the simulation environment’s voice-call drawer and annotation controls. It also refreshes deleted-call handling and pins remaining cases after deletion.→TIER IV publishes an open autonomous-racing reference stackThe reference design was used by 240 teams and approximately 600 participants in the 2026 Autonomous Driving AI Challenge. Developers can use the common platform to test algorithms from simulation through real vehicles.→General Robotics says GRID can engineer a robot's full deployment lifecycleThe company says GRID can select the models and skills needed for a task, generate training simulations, deploy the resulting capability and monitor failures in real-world operation. It presents the system as a continuously improving platform that feeds robot performance and failures back into later deployments.→Antioch raises $32M to make simulation the scalable data engine for robot trainingAntioch raised a $32M Series A led by Greylock, with participation from A*, Category Ventures, Box Group and Icehouse Ventures. The company says its platform builds high-fidelity simulations for customer hardware and runs thousands of evaluations in parallel, with Amazon Ring as a disclosed customer and Nvidia and Nebius as partners.→World Labs unveils Atlas, an omni world model for spatial intelligenceWorld Labs introduced Atlas as an omni model pretrained from scratch to operate on text, images, video and 3D through shared spatial context. The company demonstrates camera-controlled generation up to one minute at 1440p, reconstruction from one to dozens of images and space-time simulation for robotics; access is initially limited to selected partners.→Physical Superintelligence launches $58 million physics-discovery labThe company launched with $58 million in seed funding led by Breakthrough Energy Ventures and described a system called Emmy that builds world models, decomposes research problems into hypotheses and tests them against simulations. Its first commercial focus is optimising terrestrial and orbital AI data centres, while broader claims about discovering new physics remain unverified.→Accelerated Understanding unveils a non-Transformer physics AIAccelerated Understanding says its neural-operator system can handle five trillion data points in a single prompt and model physical processes across space and time. The company is targeting chip design, robotics, weather prediction and geological analysis, but the headline capability remains a company claim without independent benchmarking.→Nuclearn and GSE bring AI into nuclear plant simulation and operator trainingGSE plans to integrate Nuclearn capabilities for natural-language scenario creation, automated performance summaries, adaptive quizzes and plant-specific physics explanations. Nuclearn also plans simulator-informed risk analysis, engineering-modification sandboxes, drift detection and support for evaluating new reactor designs; the announcement describes planned capabilities, not completed deployment.→