Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Airborne AI spots underwater munitions in shallow seas with high precision

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...
Opinion
Accounting TodayOpinion

What does an AI-driven IRS mean for small accounting firms?

The IRS has fundamentally changed how it enforces tax compliance. As of June 2025, the agency operates 126 active AI use cases, up from just 10 in August 2022, spanning audit sele ...
AZoRobotics

Can AI Run Its Own Data Centers?

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...
Frontiers

Renewable Energy and Artificial Intelligence in Urban Agriculture: Pathfinding Smart and Sustainable Food Systems

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...
Rediff.com

HimClimX: New AI Platform For Himalayan Climate Insights

BIT Mesra has launched 'HimClimX', an AI-powered platform designed for Himalayan climate intelligence and visualisation. It integrates over a century of climate data to offer trend analysis, anomaly ...
IEEE

Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale

Abstract: In recent years, Artificial Intelligence for IT Operations (AIOps) has gained popularity as a solution to various challenges in IT operations, particularly in anomaly detection. Although ...
Oak Ridge National Lab

Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review

Modern cyberattacks in cyber-physical systems (CPS) rapidly evolve and cannot be deterred effectively with most current methods which focused on characterizing past threats. Adaptive anomaly detection ...
IEEE

MICHC-NN: An Offline Industrial Control Anomaly Detection Algorithm Based on Maximum Information Coefficient

Abstract: The industrial control anomaly detection algorithm effectively monitors and identifies anomalies in industrial control systems, ensuring timely issue detection to maintain system reliability ...
Scientific Research Publishing

Killourhy, K.S. and Maxion, R.A. (2009) Comparing Anomaly-Detection Algorithms for Keystroke Dynamics. 2009 IEEE/IFIP International Conference on Dependable Systems & Networks ...

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 ...
Scientific Research Publishing

Crépey, S., Lehdili, N., Madhar, N. and Thomas, M. (2022) Anomaly Detection in Financial Time Series by Principal Component Analysis and Neural Networks. Algorithms, 15 ...

ABSTRACT: This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often ...