Divirod Inc., a global leader in GNSS-R sensing and environmental intelligence, announced the successful completion of a collaborative field project with Oki Electric Industry Co., Ltd. (OKI) to ...

The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Abstract: Joint communications and sensing is a key feature in beyond 5G cellular systems. In this letter, we considered the mobile user trajectory anomaly detection problem using merely channel state ...

ABSTRACT: We introduce in this paper MIES-TR, an intelligent model for real-time syllable boundary detection during keyboard typing. This innovative approach positions the syllable as an intermediate ...

Due to the complexity of hotel operation processes, abnormal situations are inevitable, making proactive anomaly prediction essential for ensuring operational stability. Although current deep learning ...

Abstract: Artificial intelligence techniques have been extensively employed in anomaly detection tasks for massive systems and equipment across numerous industries, achieving notable success.

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...