The transformer consists of a encoder (encoder ... From 2012 onwards Neural networks gained more prominence in the world of AI and soon began to be used for language tasks. In 2016, Google adopted the ...

Neural machine translation (NMT) strongly outperforms previous statistical techniques. With the emergence of a transformer architecture, we consistently train and deploy deeper and larger models, ...

The initial search included all relevant keywords. They were (artificial intelligence) OR (machine learning) OR (logistic regression) OR (natural language processing) OR (neural network) OR (data ...

This work focuses on neural machine translation (NMT) and proposes a joint multimodal training regime of Speech-LLM to include automatic speech translation (AST). We investigate two different ...

This work proposes an SNN-based encoder-decoder model to improve the recognition performance of AER objects. An STDP-based locally connected spiking neural network (LC-SNN) is proposed as an encoder ...

Laboratory of Mathematics and Complex Systems (Ministry of Education of China), School of Mathematical Sciences, Beijing Normal University, Beijing, P. R. China ...