Tech Xplore

New light-emitting artificial neurons could run AI systems more reliably

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

I tried local AI on my M1 Mac, and the experience was brutal - here's why

Now, downloading and running an AI model can involve a lot of work to set up the "environment." So, inspired by my colleague Jack Wallen's coverage of the open-source tool Ollama, I downloaded the ...

Key to human intelligence lies in how brain networks work together, neuroimaging study suggests

Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, ...
Opinion
SpaceNewsOpinion

We need a ‘Planetary Neural Network’ for AI-enabled space infrastructure protection

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
GitHub

Tanishk190/Eurusd-lstm-predictor

A machine learning web application that predicts the next day's closing price for the EUR/USD currency pair using historical data and LSTM neural networks. ML-Project/ ├── app.py # Flask web ...
Frontiers

Multi-field numerical model and LSTM-based neural networks for thermal field predictions of concrete-filled steel tubes

1 Construction Branch of State Gird Jiangsu Electric Power Co. Ltd, Nanjing, China 2 Civil Engineering School, Southeast University, Nanjing, China Concrete-filled steel tube (CFST) columns are widely ...
Frontiers

Modeling ring current proton distribution using MLP, CNN, LSTM, and transformer networks

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...
GitHub

lstm-neural-networks

MACHINE LEARNING / NLP / AMAZON SAGEMAKER: This an exemplary implementation of Web Application predicting if provided movie review is POSITIVE or NEGATIVE. This application uses Machine Learning model ...
Scientific Research Publishing

Muhuri, P.S., Chatterjee, P., Yuan, X., Roy, K. and Esterline, A. (2020) Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks ...

ABSTRACT: SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning ...
Scientific Research Publishing

Priyadarshini, I. and Cotton, C. (2021) A Novel LSTM-CNN-Grid Search-Based Deep Neural Network for Sentiment Analysis.

ABSTRACT: In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper ...