Recurrent neural networks (RNNs) have been a very popular predictive modelling choice for sequence based applications. Here we consider RNNs for time series forecasting. The proposed distinct ...

Abstract: Cardiac dysfunctions are a global concern due to the high number of deaths it causes worldwide, as noted by the World Health Organization. The electrocardiogram signal is renowned for its ...

NANJING, China—Magewell will showcase the latest addition to its Pro Convert product line and introduce a new family of Pro Convert devices during InfoComm 2025, June 11-13, at the Orange County ...

传统的深度神经网络(DNNs)是强大的机器学习模型，在语音识别和视觉对象识别等困难问题上取得了优异的性能。但是它们只能用于大的标记数据，其中输入和目标可以用固定维度的向量进行合理的编码。它们不能用于序列到序列的映射(例如机器翻译) 这是提出一 ...

Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

Sequence-to-Sequence Chatbot leverages an LSTM-based encoder-decoder with attention to generate human-like responses, trained on the Cornell Movie Dialogs Corpus. This project features custom ...