Treble's voice simulation platform is used by voice AI model developers and AI wearable and robotics companies,

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for...

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for learning physical interactions, but their size can make on-device deployment difficult. This changes with the new NVIDIA Cosmos 3 Edge. Cosmos 3 Edge is a 4B omni-model (with a 2B NVIDIA Nemotron-based reasoner) in the Cosmos 3 family.

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LTX has launched LTX-2.5, the latest version of its open-weights world model, introducing new capabilities for video generation, real-time applications and physical AI. The company says the new model delivers improvements in visual quality, prompt understanding, generation speed and efficiency, while allowing developers and enterprises to run and customize the model on their own hardware. […]

Dexory, the robotics and warehouse data intelligence company, has deployed SimScale’s Engineering AI to accelerate the engineering workflows used to design and test autonomous warehouse robots. Building on its existing use of SimScale’s AI-native cloud simulation platform, Dexory will use Engineering AI to help engineers identify the root cause of structural component failures more quickly, […]

Siemens has launched the latest release of its Simcenter engineering simulation software, introducing new AI-powered capabilities, GPU acceleration and multiphysics workflows designed to help engineers speed up product development and explore more design options. The release is also the first to combine Siemens’ and Altair’s simulation technologies into a unified Simcenter portfolio, providing more connected […]

As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building humanoids...

As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building humanoids remains complex, and today’s development pipelines are still highly fragmented. As a result, developers spend significant time configuring robotics infrastructure before they can focus on building robot capabilities.

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