To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource information: one is MAEDDI, which can predict DDIs, and the other is MAEDDIE, which can ...

According to Hugging Face, advancements in robotics have been slow, despite the growth in the AI space. The company says that ...

In Machine Translation (MT), one of most important research fields of AI, models based on Recurrent Neural Net- works (RNN) show state-of-the-art performance in recent years, and many researchers keep ...

In this paper, we propose a waste segmentation method using Convolutional Neural Network based on the Encoder-Decoder approach ... setups of the architecture based on the number of filters in each ...

A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.