Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
GovInfoSecurity

Who Controls AI on Battlefields - the Military or the Model?

As AI is increasingly used in defense operations, a critical question emerges: Who controls the system - the military or the ...
Mirage News

AI Spectral Imaging Tackles Plastic Recycling

A new method for identifying types of plastics, built on advanced spectral imaging and machine learning, could make recycling ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Is Anthropic's New AI Model Too Dangerous? Mythos Could Let Hackers Attack Faster Than Humans

Anthropic's new powerful AI model, Mythos, designed to detect software vulnerabilities faster than human hackers, will be ...
News-Medical.Net

Dual perspective AI model achieves high accuracy in early lung cancer diagnosis

Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths - around 1.8 million lives lost each year.

We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...
IEEE

Normalized CNN-Based FER Model Combined with Machine and Deep Learning for Emotion Recognition to Improve Student Learning

Abstract: This research focuses on a deep learning framework for the identification of epilepsy from MRI imaging, using the benefits of CNNs and RNNs. Since epilepsy causes seizures from brain ...
GitHub

Enhancing Building Safety through Machine Learning and Deep Learning Based Smoke Detection

ML Module — Seven classical machine learning classifiers trained on a real-world IoT sensor dataset (62,630 readings, 13 sensor channels) achieve near-perfect AUC-ROC scores above 0.999. DL Module — A ...
IEEE

A CNN-LSTM-Attention Model for Fatigue State Assessment of Helicopter Rotor Using FBG Sensors

Abstract: Accurate fatigue state assessment of helicopter rotors is essential for structural health monitoring, enabling early identification of degradation and improved operational safety. However, ...