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 ...

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 ...

Successfully developed a sequence-to-sequence model with attention mechanism for Ukrainian-to-English language translation, ensuring context-aware and grammatically accurate sentence outputs.

One of the most exciting capabilities of contemporary large language models (LLMs) is their impressive performance on code understanding and generation tasks, expanding access to the previously arcane ...

We study lossless acceleration for seq2seq generation with a novel decoding algorithm — Aggressive Decoding. Unlike the previous efforts (e.g., non-autoregressive decoding) speeding up seq2seq ...

Some of the most significant developments in AI have come through supervised learning. It speaks about computer learning models that have been trained using annotated data. However, reliance on data ...