Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...

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

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 ...

New architecture integrates Copilot, Azure OpenAI, Claude, and Perplexity to transform Microsoft Power BI into an AI-driven enterprise decision platform. At most organizations, Copilot is only the ...

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

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 ...

MicroRank is a novel system to locate root causes that lead to latency issues in microservice environments. MicroRank extracts service latency from tracing data then conducts the anomaly detection ...

Reinforcement Learning for Anomaly Detection in User Logon Behavior A sophisticated anomaly detection system that uses reinforcement learning principles to identify unusual user logon patterns, source ...

Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. If ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...