A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

As AI systems grow more autonomous, Walrus argues that verifiable data infrastructure will determine which systems earn trust.

A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data.

The emergence of AI and biosensors offers a chance to address inefficiencies in drug development.

Abstract: The analysis of unstructured data in the form of text requires careful scientific research, since the quality of the analysis affects the decision-making processes in the digital economy.

Abstract: In today’s data-driven world, structuring unstructured data is crucial for efficient analysis and meaningful insights. This paper focuses on transforming unstructured text documents into a ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Globally, unstructured data represents 80% to 90% of the world’s digital information. By 2025, that volume is expected to reach 175 zettabytes. Unstructured data is everywhere—medical images, ...