Science

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.

A new analysis reveals the dangerous incentives driving the development of Artificial General Intelligence, suggesting a rush to deployment despite potentially catastrophic risks.

A new framework leverages the power of brain network analysis and multimodal imaging to forecast individual risk of neurodegenerative disease progression.