Science

Researchers are leveraging the power of graph neural networks to accurately model the disintegration of small particle clusters within chaotic fluid flows.

Researchers have developed a novel spectral graph neural network simulator capable of more accurately and reliably modeling the complex, nonlinear dynamics of disordered elastic networks.

New research demonstrates how machine learning can improve the accuracy of loss reserving by leveraging both initial estimates and actual payment data.

As artificial intelligence evolves beyond passive tools, a new generation of autonomous AI agents is emerging to reshape the landscape of cybersecurity, offering both powerful defenses and novel attack surfaces.

A new benchmark reveals how easily large language models can be swayed by contextual framing when identifying false financial claims across different languages.

Researchers have developed a powerful new artificial intelligence model capable of accurately reconstructing cardiac MRI images across a wide range of imaging conditions.

A new approach empowers communities to enrich large language models with local narratives, improving accuracy and addressing information inequities.

A new wave of research is combining data from brain scans, wearable sensors, and even video to improve the accuracy and speed of epileptic seizure detection and prediction.

Researchers are improving solar flare prediction by integrating far-side observations with surface magnetic field modeling, offering a more comprehensive view of the sun’s volatile behavior.

A new attack method subtly alters mathematical formulas to mislead even the most advanced AI systems like ChatGPT during text recognition.