Public relations has always been about crafting compelling narratives, stories that connect, influence, and truly inspire. But in today's dynamic landscape, where data moves at warp speed and machine ...

The average game time is relatively flat, and the fouls per game is up ... so I can't create an exact distribution graph, which you would typically do to come up with what? A bell curve. But when ...

Though our solar system and the movement of its planets appear relatively sedate, there are many things that could upset the ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Real-time vulnerability detection and anomaly reporting tools enable cybersecurity teams to swiftly identify and neutralize threats before they intensify.

Munir, M., Siddiqui, S.A., Dengel, A. and Ahmed, S. (2019) DeepAnT A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series. IEEE Access, 7, 1991-2005.

Multivariate time series anomaly detection is crucial in many applications, including finance, healthcare, transportation, power grids, and water treatment plants. However, due to the complex ...

Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company's xLake ...

Any time-series dataset that needs anomaly detection can utilize EMOD. “I’m most eager to see EMOD applied to monitoring complex real-world systems—especially those where anomalies can have critical ...

An unexpected anomaly was found in the Pacific Ocean – and it could be a global time marker View of the Pacific Ocean from the International Space Station. NASA ...

Nuclear theorists uncover the mass distribution within the pion and the proton through groundbreaking first-principle numerical calculations. Scientists use the trace anomaly in spacetime to ...