EDN

AV2 decoder joins multi-codec IP family

Allegro DVT's Pulsar D400 series of multi-format video decoder IP now supports real-time AV2 decoding for advanced SoCs and ...
IEEE

SEQ2SEQ++: A Multitasking-Based Seq2seq Model to Generate Meaningful and Relevant Answers

Abstract: Question-answering chatbots have tremendous potential to complement humans in various fields. They are implemented using either rule-based or machine learning-based systems. Unlike the ...
IEEE

Attentional Seq2Seq Encoder-Decoder and Next Generation Reservoir Computing for Heartbeat Classification

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 ...
Frontiers

Neural-enhanced motion-to-EMG: refining simulated muscle activity from musculoskeletal models using a Seq2Seq approach

Electromyography (EMG) is essential for accurate assessment of motor function in rehabilitation, sports science, and robotics. However, its various time-consuming human operations (e.g., ...
Nature

Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting

Accurate prediction of meteorological factors is critical across various domains such as agriculture, disaster management, and climate research. Traditional models, such as Numerical Weather ...
Nature

A PatchTST-GRU based heterogeneous seq2seq model with numerical weather prediction refinement for multi-step wind power forecasting

The efficient utilization of wind energy relies on accurate wind power forecasting. However, existing methods face challenges in multi-step forecasting, including ...
LinkedIn

Encoder vs. Decoder: Understanding the Two Halves of Transformer Architecture

Since its breakthrough in 2017 with the “Attention Is All You Need” paper, the Transformer model has redefined natural language processing. At its core lie two specialized components: the encoder and ...
LinkedIn

The Evolution of Seq2Seq Models: From Encoder-Decoder to Transformers

The first sequence-to-sequence (seq2seq) model was introduced by researchers at Google in Dec 2014. The model was described in the “Sequence to Sequence Learning with Neural Networks” paper by Ilya ...
Scientific Research Publishing

Research and Analysis of Grammatical Error Correction Technology for Chinese Documents ()

1 Faculty of Computing, Harbin Institute of Technology, Harbin, China. 2 School of Future Technology, Nanjing University of Information Science & Technology, Nanjing, China. 3 Nanjing Jinling Hospital ...
Microsoft

Achieving Zero-COGS with Microsoft Editor Neural Grammar Checker

Microsoft Editor provides AI-powered writing assistance to millions of users around the world. One of its features that writers of all levels and domains rely on is the grammar checker, which detects ...