Exploring the Horizons of Text Generation with Nemotron-Labs Diffusion Models

NVIDIA's Nemotron-Labs Diffusion models redefine text generation by merging autoregressive and diffusion techniques, enhancing both speed and accuracy.

NVIDIA's Nemotron-Labs Diffusion models redefine text generation by merging autoregressive and diffusion techniques, enhancing both speed and accuracy.

The evolution of open-source robotics is paving the way for smarter machines, with significant contributions from companies like Hugging Face and Nvidia.

NVIDIA has unveiled a method to fine-tune its Cosmos Predict 2.5 model, enhancing its capabilities for generating synthetic robot trajectories through efficient training techniques.
In a bid to bolster his negotiating position with China, Donald Trump has invited key tech executives, including Tim Cook, Elon Musk, and Jensen Huang, to accompany him to a summit with Xi Jinping.

Amazon Web Services unveils a comprehensive architecture for foundation model training, emphasizing the integration of advanced infrastructure and open-source software.

As Nvidia's DLSS 5 technology sparks controversy, *Resident Evil Requiem* producer Masato Kumazawa discusses player reactions to character design changes.

As AI adoption shifts towards inference, startups find new avenues to compete against Nvidia's stronghold in the market.

Intel is positioning itself to reclaim its status in the chip market by focusing on AI inference and agentic workloads, despite ongoing manufacturing challenges.

NVIDIA introduces Nemotron-Personas-Korea, a dataset designed to enhance AI agents' cultural relevance and accuracy for Korean users.

NVIDIA has introduced Nemotron OCR v2, a multilingual optical character recognition model that leverages synthetic data to enhance accuracy and speed across six languages.