GitHub

char_rnn_generation_tutorial.py

This tutorials is part of a three-part series: * `NLP From Scratch: Classifying Names with a Character-Level RNN <https://pytorch.org/tutorials/intermediate/char_rnn ...
GitHub

char_rnn_classification_tutorial.py

This tutorials is part of a three-part series: * `NLP From Scratch: Classifying Names with a Character-Level RNN <https://pytorch.org/tutorials/intermediate/char_rnn ...
IEEE

Event-Triggered RNN-Based Resilient Model Predictive Consensus Control for Nonlinear Multiagent Systems Under DoS Attacks: A Case Study in Multi-UAV Networks

Abstract: This article addresses the problem of resilient consensus control for nonlinear multiagent systems (MASs) operating over networks subject to denial-of-service (DoS) attacks. We propose an ...
IEEE

A Comparative Study on RNN-LSTM-GRU Ensemble Model for Short-Term Wind Speed Prediction

Abstract: Precise forecasting of wind speed is essential for the efficient operation of wind power systems and the optimal planning of power grid generation. This study seeks to simplify the process ...
Reuters

Exclusive: China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says

WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's (NVDA.O), opens new tab most advanced AI chip, the ...
techxplore

AI energy use: New tools show which model consumes the most power, and why

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an open-source software and online leaderboard developed at the University of ...