Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

This framework provides an easy method to compute embeddings for accessing, using, and training state-of-the-art embedding and reranker models. It can be used to compute embeddings using Sentence ...

Abstract: This paper presents the Lost and Found Campus Portal, a web-based system to streamline reporting and recovery of lost items on a college campus. The portal enables users to register, log in, ...

Abstract: TamilNews Inspector is a multilingual fake news detection framework developed to tackle the growing dissemination of fake news in linguistically diverse digital landscapes, explicitly ...

在构建大语言模型（LLM）应用时，检索增强生成（RAG）已成为解决模型幻觉、补充私有知识的标准范式。然而，许多开发者在实践中发现，单纯依赖向量检索（Vector Search）并非万能——它擅长捕捉语义，但在处理精确匹配（如产品型号、专有名词）时往往力不从心 ...

Several attempts for speech brain–computer interfacing (BCI) have been made to decode phonemes, sub-words, words, or sentences using invasive measurements, such as the electrocorticogram (ECoG), ...

Document similarity is a crucial concept in natural language processing (NLP) that measures how closely two or more documents are related in terms of their content. It is widely used in applications ...

In the last year, chatbots powered by large language models are everywhere and even … useful. But how do they work? Large language models (LLMs) are the fundamental architecture behind chatbots like ...