New research reveals how strategically designed assessments, built around interconnected problems, can effectively evaluate genuine understanding and resist being solved by generative AI.
A novel methodology combining machine learning with expert insights is offering more accurate forecasts of illegal border crossings into Europe.
A new agent-based AI system streamlines the complex process of epidemic response planning, offering a proactive approach to public health crises.
New research reveals a stark disconnect between the AI safety and AI ethics communities, hindering progress toward responsible artificial intelligence.
A new strategy focuses on the interplay between local and global connections in financial networks to identify opportunities and mitigate risk during turbulent times.
A new approach combines physics-based modeling with deep learning to rapidly assess frequency response and prevent widespread blackouts.
A new framework leverages graph neural networks to adaptively identify malicious activity within cloud-based Identity and Access Management systems.
A new framework combines advanced machine learning with economic indicators to deliver more accurate predictions for volatile construction material prices.
A new deep learning framework elegantly combines operator theory with neural networks to dramatically improve the accuracy of fluid dynamics predictions.
A new approach combines the power of large language models and attention mechanisms to achieve more accurate and robust text categorization.