N. Vijaykumar

Robots learn faster and succeed more often by intelligently switching between high-fidelity simulation data and real-world vision during training.

zkComposer achieves up to 6.84x faster proof generation for zero-knowledge machine learning, revolutionizing the scalability of private model inference.

DataGuard ensures that sensitive data remains private during federated learning, even when third-party applications are involved.

Rapidly prototype and deploy new rendering methods across diverse hardware platforms with just a few lines of code using XPR.

Open-source LLMs can now autonomously optimize AI accelerator kernels, matching the performance of proprietary models at a fraction of the cost.