New research leverages machine learning to accurately forecast how long it will take to contain wildfires in California, offering crucial insights for resource allocation and response strategies.
A new benchmark assesses language models’ ability to handle complex financial instructions, revealing surprising strengths in open-weight systems.
Researchers have developed a deep learning system that accurately predicts heatwave-related mortality by focusing on overall population health, rather than just heat-related deaths.
A new framework offers a lifecycle-based approach to managing AI risks and ensuring alignment with evolving global regulations.
Researchers have unveiled a comprehensive evaluation framework designed to rigorously assess the safety and compliance of large language models when applied to complex financial tasks.
A new approach leverages graph neural networks to dramatically accelerate the simulation of blood flow within intracranial aneurysms, paving the way for faster, more accurate risk assessment.
A recent community strike on Stack Exchange highlights the growing tensions between platform policies, AI integration, and the rights of volunteer contributors.
A new analysis reveals how large language models are reflecting-and potentially shaping-research trends in understanding and addressing healthcare inequities.
Researchers are leveraging real-world crash data to create realistic and controllable scenarios for rigorously testing the safety of autonomous vehicles.
Training increasingly complex AI models requires careful management of GPU resources, and accurately forecasting memory usage is now critical for efficient development.