Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.

Key market opportunities in Saudi Arabia's data mining tools sector include the expansion of cloud-based solutions, driven by the shift to cloud computing, and increasing demand from SMEs for ...

While adaptation under uncertainty was the theme for 2025, the year ahead is shaping up to emphasize strategic resilience, ...

Objective: This study aims to explore the use of AI systems in mental health to support decision-making, focusing on 3 key areas: the characteristics of research on AI systems in mental health; the ...

In a previous study, the researchers showed that PSA scores can impact both doctor and patient behavior, leading to biopsy ...

Overview: AI in marketing analytics is experiencing rapid adoption as businesses increasingly rely on intelligent data ...

Former CIO, Transnet Freight Rail & UNISA Across Africa, organisations are accelerating their digital transformation journeys ...

Abstract: This article proposes a quantum group decision model that integrates intuitionistic fuzzy sets to represent the uncertainty of meteorological disaster information, addressing both vagueness ...

Manufacturing leaders are investing heavily in the promise of a data-driven smart factory, yet many find their digital ...

As the “Predictability Era” Ends, Global Summits, Corporate Conferences, and Boards Turn to Spitz’s “Operating System” ...

Amanpal Dhupar, Head of Retail at Tredence is an experienced retail analytics and AI leader with over a decade of expertise ...

How do new words like “safe space,” “dogpile,” and “alt-right” make it into the dictionary? Journalist Stefan Fatsis finds ...