…and imitation learning for skill acquisition. Evaluation and testing: Benchmark in digital twins with HIL testing. Sim2Real transfer: Deploy AI from simulation to real-world surgery. BYO anatomy This pipeline for creating…
…His work centers on practical, production-ready AI—particularly in vision and large-scale model deployment—bridging the gap between research and real-world impact. Alex holds a bachelor’s degree in…
…Then, curate, augment, and evaluate it with Cosmos open world foundation models (WFMs) to accelerate vision AI model development. Isaac Sim Enable developers to create realistic synthetic data from complex 3D environments…
…a standard benchmark for evaluating quantum calibration models, NVIDIA collaborated with quantum partners to develop QCalEval , the world’s first benchmark for agentic quantum computer calibration, containing real quantum computer outputs. This…
…Downstream evaluation: Accuracy is preserved To assess whether low-precision training impacts real-world performance, we evaluated all pretrained models on standard downstream benchmarks. All evaluations were run in BF16 precision to…
…available GPU capacity, and monitor platform activity in real time. Prompt to running pipeline, from synthetic data and training to SIL and HIL evaluation, no infrastructure expertise required. How It Works Define…
…Her work in validating and optimizing generative AI workflows, combined with performance benchmarking through fine-tuning of LLM, VLM, and MOE models, has helped streamline AI products for real-world applications. Her…
…reliable real-world AI. Nemotron RAG Datasets Unlock the foundation behind our leaderboard-topping model with the release of 15 meticulously curated datasets—spanning instruction-following, reasoning, coding, and evaluation data—to…
…real agentic behavior, the model is post-trained using reinforcement learning across diverse environments in NeMo Gym, the NVIDIA open source library for building and scaling RL training environments. These environments evaluate…
…His research focuses on physical AI—the development of AI systems grounded in physics, perception, and control that can operate robustly in the real world. His work spans a range of applications…