Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

The Wichita Falls Economic Development Corporation on Thursday took a step toward having a large data center locate here. The board voted to sell more than 225 acres in the Wichita Falls Business Park ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

As the industry embraces Nielsen’s big data + panel, the NFL is on board with the new measurement tool. Still, chief data and analytics officer Paul Ballew says there’s “more work” to be done in terms ...

New York – September 2, 2025 – With the start of the broadcast and football seasons this month, Nielsen today shared several updates for reporters covering TV, as the industry is adopting Nielsen’s ...

Enterprises are feeling competitive pressure to put AI programs front and center in their business strategy and to ensure that their investments in data infrastructure and tools fully support that ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

As transportation and tech companies became increasingly intertwined over the past 20 years, private sector and open source data has exploded, Jinhua Zhao, professor of cities and transportation at ...

Abstract: The Gaussian Mixture Model (GMM) is widely used in anomaly detection due to its flexibility in handling complex data distributions and its soft classification mechanism. However, its ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...