Los Alamos Reporter

LANL: Researchers Show Some Quantum Learning Models Are Classically Simulable

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...
IEEE

Vision-Based Fall Prediction With Spatial–Temporal Graph Convolutional Networks

Abstract: Falls pose a significant risk to the lives and independence of elderly individuals, raising widespread concern in public healthcare. Timely and accurate prediction of fall events prior to ...
Tech Xplore

A hardware-software co-design can efficiently run AI on edge devices

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...
Que.com on MSN

Humanoid robots replace factory workers and drive industrial automation

Embracing the Rise of Humanoid Robots in Industrial Automation The manufacturing landscape is undergoing a seismic shift as humanoid robots ...
European Medical Journal

AI Model Boosts Lung Cancer Detection Accuracy to 96%

A new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...
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) ...
Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
Climate Compass on MSN

The science behind earthquake prediction efforts

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...
IEEE

Attention-Based Convolutional Neural Network Model for Skin Cancer Classification

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...