Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...

The most powerful artificial intelligence tools all have one thing in common. Whether they are writing poetry or predicting ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, ...

Abstract: A growing number of scientific publications are available today. As this data grows, it becomes increasingly important to use semantic density to convey the most essential information as ...

DeepSeek introduced Manifold-Constrained Hyper-Connections (mHC) to improve large-model training scalability and efficiency. The mHC method was tested on 3B, 9B, and 27B parameter models, showing ...

Tencent Hunyuan’s 3D Digital Human team has released HY-Motion 1.0, an open weight text-to-3D human motion generation family that scales Diffusion Transformer based Flow Matching to 1B parameters in ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...