Science

A new methodology moves beyond qualitative assessments to model cybersecurity risks amplified by artificial intelligence.

A new pipeline leverages the efficiency of small language models alongside traditional tree ensembles to accurately predict injury severity from city-wide crash data.

Researchers have developed a structured methodology for quantifying the potential harms of increasingly powerful artificial intelligence systems.

A novel approach combines the power of deep learning with established stochastic modeling to achieve more accurate asset price predictions.

As artificial intelligence systems become more powerful, a proactive and rigorous approach to risk assessment is crucial for safe and responsible development.

New research demonstrates that major Japanese bank mergers trigger positive market responses and sustained benefits for other institutions within the sector.

A new data-driven approach leverages graph neural networks to guarantee the stability of large-scale interconnected systems, even with unknown underlying dynamics.

Researchers have developed a novel physics-informed deep learning method to accurately price financial options under the widely-used Heston model.

A new approach to analyzing social media chatter is helping cities pinpoint and address potential problems with public transportation systems.

A new study demonstrates how artificial intelligence can assess mental health symptoms by analyzing subtle cues in speech and voice patterns.