Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs make smarter calls on cost and impact.

A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...

Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy? Authors: Guan, Y., Trinh, V.A., Voleti, V., and Whitehill, J.

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