Science

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.

New research shows that understanding the relationships between online comments is crucial for accurately identifying and flagging uncivil behavior.

A novel hybrid quantum-classical neural network is demonstrating promising results in predicting stock market performance.

This review explores how intelligently coordinating AI workloads with power system operations can significantly reduce carbon emissions and improve grid resilience.

New research demonstrates that the textual content of song lyrics, when processed with advanced language models, can be a powerful indicator of a song’s potential popularity.

New research reveals that focusing on how large language models can augment human work, rather than simply automating tasks, is the key to unlocking substantial productivity gains.

A new study examines the challenges and emerging strategies for building artificial intelligence capacity across diverse African nations.

New research suggests that seemingly deceptive behavior in artificial intelligence may stem from internal inconsistencies-a form of ‘weakness of will’-rather than malicious intent.

A new deep learning model is delivering high-resolution weather predictions across China, offering a significant improvement in forecasting detail.