Science

New research reveals that interconnected banking systems in BRICS nations are highly vulnerable to systemic risk triggered by geopolitical events and amplified by behavioral panic.

New research demonstrates a powerful graph clustering framework for fraud detection, improving coverage and scalability by intelligently combining different types of connections.

A new deep learning system analyzes visual patterns to predict photosensitivity risk in patients with nystagmus, paving the way for personalized visual aids.

A new framework uses the power of artificial intelligence to generate timely and accurate humanitarian situation reports, offering a critical tool for disaster response.

As multi-agent systems become increasingly complex, researchers are developing new methods to detect and correct harmful behaviors that emerge unexpectedly from their interactions.

New research demonstrates the power of machine learning to predict the impacts of short-term drought, offering crucial lead time for proactive planning.

Extracting precise location information from rapidly shared social media posts is crucial during emergencies, and this research details a new system designed to do just that.

A new analysis reveals fundamental differences in how humans and artificial intelligence arrive at knowledge, highlighting critical limitations in current AI systems.

A new study reveals how security professionals are adopting and evaluating artificial intelligence tools to manage the growing threat of software vulnerabilities.

As artificial intelligence systems gain increasing autonomy, ensuring their security requires a fundamentally different approach.