In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

The starting point of a FlexOlmo project is a so-called anchor AI model. Every organization that participates in the project ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Imagine a 100GB movie in a text! Anthony Ravenberg's quantum compression shatters limits, offering extreme data reduction and quantum-resistant security.

AI models capable of running efficiently on edge devices need to be reduced in size and compute considerably, while maintaining similar reliable results. This process, often referred to as model ...

Comparing Modeling Approaches for Distributed Contested Logistics. American Journal of Operations Research, 15, 125-145. doi: ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

The company announced that the funds will expedite market initiatives in India and Southeast Asia, as well as enhance its AI ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Imagine a self-driving car navigating downtown traffic. To avoid a collision, it must judge whether the pedestrian at the corner is about to cross. Or consider an investment algorithm trading ...