Google's real-time translator looks ahead and anticipates what is being said, explains Niklas Blum, Director Product ...

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

AI2 has unveiled Bolmo, a byte-level model created by retrofitting its OLMo 3 model with <1% of the compute budget.

Ai2 releases Bolmo, a new byte-level language model the company hopes would encourage more enterprises to use byte level ...

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...

Abstract: Semantic segmentation of remote sensing images is challenging due to complex scenes, substantial variations in object scales, and ambiguous boundaries. In this study, we propose a novel ...

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 ...

ABSTRACT: To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net ...

- Driven by the **output**, attending to the **input**. - Each word in the output sequence determines which parts of the input sequence to attend to, forming an **output-oriented attention** mechanism ...