Science

This research details a method for building specialized training data to enhance the reasoning capabilities of artificial intelligence in complex financial scenarios.

A new approach leverages neural networks to dramatically improve the detection of faint signals buried in complex, non-Gaussian noise.

Researchers have developed a new artificial intelligence framework that dramatically improves the resolution of complex 3D simulations of turbulent reacting flows, opening doors for more accurate and efficient modeling.

A new study examines whether large language models can accurately recreate the complexities of human survey responses.

A new wave of research is harnessing the power of deep learning to combine observations from diverse sources, offering unprecedented insights into the cosmos.

New research reveals that basic graph features and conventional machine learning methods are surprisingly effective at identifying random disruptions in evolving link streams.

Researchers have developed a method to reliably distinguish images created by artificial intelligence from authentic photographs.

Researchers have developed a novel approach to federated learning that sidesteps traditional gradient-based updates, unlocking improved performance and resilience.

New research suggests that even extraordinarily powerful artificial intelligence may offer little economic benefit in complex, multi-agent systems.

Researchers are leveraging synthetic datasets to build and test more effective anti-money laundering systems.