Discover how behavioral modeling helps predict consumer actions using spending data, enabling businesses to refine targeting ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Tokenization is emerging as a cornerstone of modern data security, helping businesses separate the value of their data from ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

To reduce the threat of model loss, synthetic data corruption and insight erosion, CXOs must create a new class of "AI-aware" data recovery capabilities.

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

As we anticipate the launch of Grand Theft Auto VI (GTA 6), a key concern for digital gamers is the amount of data required for download. This article explores the potential data requirements for GTA ...

Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...

Ai2 unveiled Molmo 2, a new open-source AI model that can analyze video with precision — tracking objects, counting events, ...

Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to a team of tools and specialized models.

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...