A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value caches — enhanced with a comprehensive, research-grade ...

Artificial intelligence company Tripo AI has introduced Tripo P1.0, a production-grade native 3D diffusion architecture designed to generate engine-ready assets directly in three-dimensional space.

1 Department of Applied Mathematics, University Iba Der Thiam de Thies, Thies, Senegal. 2 Department of Applied Mathematics, University Alioune Diop de Bambey, Bambey, Senegal. The tactical ...

Mercury 2, the first diffusion-based reasoning large language model, introduces a new approach to token generation by refining multiple tokens in parallel rather than sequentially. This shift enables ...

The ‘uncanny valley’ is the final frontier for generative video. We have seen AI avatars that can talk, but they often lack the soul of human interaction. They suffer from stiff movements and a lack ...

Abstract: The absence of ground truth (GT) in most fusion tasks poses significant challenges for model optimization, evaluation, and generalization. Existing fusion methods achieving complementary ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...