An international analysis combining brain imaging data from multiple independent studies has identified a common pattern in ...

New AI models are accelerating the game of cat-and-mouse as cybersecurity experts try to keep ahead of would-be hackers. An ...

Learning from potential disinformation introduces specific cognitive biases, causing individuals to systematically deviate from an idealized Bayesian updating strategy.

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

The Trump administration, which took a noninterventionist approach to artificial intelligence, is now discussing imposing oversight on A.I. models before they are made publicly available. By Tripp ...

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...

The occupational calling of nursing staff, defined as their inherent sense of vocational mission and meaning, is closely linked to maintaining high-quality nursing services, ensuring patient safety, ...

In the rush to adopt deep learning, many practitioners have overlooked one of the most elegant tools in the data science arsenal: Probabilistic Graphical Models (PGMs). While a neural network is ...

Abstract: To address the problem of sea ice collisions threatening offshore drilling operations in polar regions, this paper proposes a Bayesian network-based collision risk assessment model for ...

The coral reef ecosystems of the Maldives are critical to the nation’s ecological integrity, economic development, and climate resilience. As a small island state, the Maldives is heavily dependent on ...

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...