Science

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.

A new approach leverages the power of artificial intelligence to extract meaningful events from news articles and translate them into more accurate stock market predictions.

Researchers have developed an adaptive forecasting framework that combines market context with historical patterns to improve cryptocurrency price predictions.

A new framework combines machine learning with fuzzy logic to improve the accuracy and reliability of financial forecasts, especially in volatile emerging markets.

As multi-agent systems become more complex, pinpointing the source of failures requires innovative approaches to observability and control.