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Unified Whole-Body Control for Physically Simulated Humanoids

Creating interactive virtual characters that move naturally and respond intelligently to diverse control inputs remains one of the most challenging problems in…

Creating interactive virtual characters that move naturally and respond intelligently to diverse control inputs remains one of the most challenging problems in computer animation and robotics. While high-performance parallel simulators such as NVIDIA Isaac Sim enable significant progress in training interactive humanoids, current approaches still face a fundamental limitation. That is…

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Accelerated Quantum Supercomputing with the NVIDIA CUDA-Q and Amazon Braket Integration

The NVIDIA and AWS logos in white and green on a black background.As quantum computers scale, tasks such as controlling quantum hardware and performing quantum error correction become increasingly complex. Overcoming these…The NVIDIA and AWS logos in white and green on a black background.

As quantum computers scale, tasks such as controlling quantum hardware and performing quantum error correction become increasingly complex. Overcoming these challenges requires tight integration between quantum processing units (QPUs) and AI supercomputers, a paradigm known as accelerated quantum supercomputing. Increasingly, AI methods are being used by researchers up and down the quantum…

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Investing in Performance: Fine-tune small models with LLM insights – a CFM case study

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Open Source Developers Guide to the EU AI Act

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Siemens Healthineers Adopts MONAI Deploy for Medical Imaging AI

3.6 billion. That’s about how many medical imaging tests are performed annually worldwide to diagnose, monitor and treat various conditions. Speeding up the processing and evaluation of all these X-rays, CT scans, MRIs and ultrasounds is essential to helping doctors manage their workloads and to improving health outcomes. That’s why NVIDIA introduced MONAI, which serves
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