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

V, a multimodal model that has introduced native visual function calling to bypass text conversion in agentic workflows.

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: This article presents a new deep-learning architecture based on an encoder-decoder framework that retains contrast while performing background subtraction (BS) on thermal videos. The ...

In the current multi-modality support within vLLM, the vision encoder (e.g., Qwen_vl) and the language model decoder run within the same worker process. While this tightly coupled architecture is ...

Abstract: Speech enhancement (SE) models based on deep neural networks (DNNs) have shown excellent denoising performance. However, mainstream SE models often have high structural complexity and large ...

As AI glasses like Ray-Ban Meta gain popularity, wearable AI devices are receiving increased attention. These devices excel at providing voice-based AI assistance and can see what users see, helping ...