GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...
How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
Analytics Insight

Best AI Skills to Learn for Future Jobs January 2026

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...
IEEE

RNN-based Prediction and Risk Classifcation for Improving Endometrial Cancer Diagnosis using Clinical and Imaging Data

Abstract: Endometrial cancer is one of the most prevalent malignancies in women; hence, its early detection is critical for effective treatment and improved survival rates. Traditional techniques for ...
IEEE

Malware Classification through Opcodes using Deep Learning RNN and CNN models

Abstract: This research study proposes a novel method for classifying malware using opcode sequences extracted from Windows files. Deep learning models such as RNN, LSTM, GRU, and a hybrid CNN-LSTM ...