Science

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.

Researchers have developed a parametric framework that combines landscape characteristics with weather forecasts to predict flash floods up to 72 hours in advance.

New research explores how quantifying uncertainty in neural networks can build more reliable and ethically sound question-answering systems.

New machine learning techniques are unlocking deeper insights into the structure and dynamics of complex networks, from social systems to biological pathways.

A new deep learning approach combines accurate disease classification with explainable AI, offering farmers and agronomists a transparent understanding of diagnostic decisions.