Nvidia introduces Diffusion Nemotron, a 60-billion parameter two-tower AI model that uses parallel block processing to speed up text generation.

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Looking forward to Deepseek integrating this into their next LLM in a few weeks and cutting costs by half yet again. Not sure how the American AI companies are supposed to ever achieve profit. AI ...

Abstract: The selection of the team captain is an essential decision in team-based sports and professional situations, and it requires an optimized option across multiple criteria. Many existing ...

Correspondence to Dr Sarah Gregory, Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London WC1E 6BT, UK; ...

We present Hierarchical Diffusion Language Model (HDLM), a novel framework for training discrete diffusion models via time-varying next-semantic scale prediction. HDLM extends standard Masked ...

The tiny Hierarchical Reasoning Model mimics the brain’s structure to solve complex tasks in a single pass — no internet-scale pretraining, just smart design and strategic thinking. A new AI model ...

Launch training with seed 42 on GPU 0. (robodiff)[hierarchical_diffusion_policy]$ python train_hdp.py --config-dir=. --config-name=hdp_tilt.yaml training.seed=42 ...

Diffusion models have emerged as a powerful approach in generative AI, producing state-of-the-art results in image, audio, and video generation. In this in-depth technical article, we’ll explore how ...