In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
As AI is increasingly used in defense operations, a critical question emerges: Who controls the system - the military or the ...
As tech giants race to build massive data centers to fuel the AI boom, Texas has emerged as a key battlefield in the fight ...
A new method for identifying types of plastics, built on advanced spectral imaging and machine learning, could make recycling ...
Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Anthropic's new powerful AI model, Mythos, designed to detect software vulnerabilities faster than human hackers, will be ...
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.
A peer-reviewed study published in Satellite Navigation describes an AI framework that can estimate a drone’s position, ...
Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...
Virtual reality feels more “real” when users can touch a physical prop, but most haptic proxies follow a one-object-one-model approach that is costly and hard to deploy. A new fabric topological ...
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 ...