GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...

Diffusion transformers use transformer backbones inside diffusion-style generative processes, modeling noisy image, video, or ...

A transformer model is a neural network architecture that can automatically transform one type of input into another type of output. The term was coined in the 2017 Google paper titled "Attention Is ...

PALO ALTO, Calif., October 01, 2025--(BUSINESS WIRE)--Pathway, the data company building live AI that thinks in real-time like humans do, is today introducing Baby Dragon Hatchling (BDH), a new ...

The AI research community continues to find new ways to improve large language models (LLMs), the latest being a new architecture introduced by scientists at Meta and the University of Washington.

A transformer model combining multi-scale context with spatial and temporal attention achieved high action-recognition ...

Ever since the groundbreaking research paper "Attention is All You Need" debuted in 2017, the concept of transformers has dominated the generative AI landscape. Transformers however are not the only ...

If you've ever wondered whether an AI feature on your phone is doing anything useful, Ben Khalesi has probably asked the same question. He has covered AI and Android for Android Police since 2023, ...

OpenAI safety researchers fired loop transformer: Three researchers who warned recurrent-depth architecture routes AI computation through hidden states no chain-of-thought monitor can read were ...