IEEE

Joint Beam Search Integrating CTC, Attention, and Transducer Decoders

Abstract: End-to-end automatic speech recognition (E2E-ASR) can be classified by its decoder architectures, such as connectionist temporal classification (CTC), recurrent neural network transducer ...
IEEE

Landslide Risk Prediction Model Using an Attention-Based Temporal Convolutional Network Connected to a Recurrent Neural Network

Abstract: Landslide risk assessment is an important component of the landslide research field. For the problem of landslide assessment indicators, we utilize the TOPSIS-Entropy method to assess the ...
Hacker

Inside Transformers: The Hidden Tech Behind LLM's and Chatbots like ChatGPT

Your browser does not support the audio element. This post tries to explain inner blocks of Transformer architecture which is the secret sauce behind all the Large ...
Hacker

History of Using AI in Education

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community The history of using AI in education dates back to the 1960’s, with the ...
unite

NLP Rise with Transformer Models | A Comprehensive Analysis of T5, BERT, and GPT

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. These breakthroughs have not only ...
C&EN

Molecular Identification from AFM Images Using the IUPAC Nomenclature and Attribute Multimodal Recurrent Neural Networks

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Spectroscopic methods─like nuclear magnetic resonance, mass spectrometry, X-ray ...
GitHub

tensorflow/nmt: TensorFlow Neural Machine Translation Tutorial

Back in the old days, traditional phrase-based translation systems performed their task by breaking up source sentences into multiple chunks and then translated them phrase-by-phrase. This led to ...