Artificial intelligence (AI) systems are computational models that can learn to identify patterns in data, make accurate predictions or generate content (e.g., texts, images, videos or sound ...

Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

Abstract: Geospatial artificial intelligence (GeoAI) and data processing techniques have significantly advanced object detection, prediction, and classification tasks. However, the availability of ...

Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...

Have You Fully Addressed the Security of Your Non-Human Identities? When considering the complexities of cybersecurity, one might focus on human-related threats. Yet, in cybersecurity, Non-Human ...

James Georgalakis and Knowledge Manager, Alan Stanley share the shifts in theory and practice they have witnessed and consider the future of knowledge for development in the age of AI.

A Dartmouth study challenges the conventional view that the amygdala-the two-sided structure deep in the brain involved in emotion, learning, and decision making-is simply the brain's primitive "fear ...

A Dartmouth study challenges the conventional view that the amygdala—the two-sided structure deep in the brain involved in ...

Conflict forecasting, using AI and vast amounts of data, is evolving fast. The Middle East's authoritarian regimes could well be among the first in the world to use it to stop protests — before they ...

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

As IoT and AI ecosystems mature, enterprises are rejecting vendor lock-in in favor of interoperability. Here's what leaders need to know.