Science

New research demonstrates how combining artificial intelligence with both technical and fundamental data can significantly improve currency market predictions.

A novel deep learning framework combines the strengths of convolutional, transformer, and graph neural networks to dramatically improve weed detection in agricultural settings.

Researchers are combining data from eye movements, facial expressions, and speech to improve the accuracy of depression detection.

A new approach leverages the power of artificial intelligence to rapidly access and apply the latest scientific knowledge about beneficial fungi in agriculture.

New research demonstrates a surprisingly efficient method for reconstructing sensitive data from split neural networks, even with limited access and existing defenses.

A novel deep learning architecture combines the strengths of recurrent neural networks to achieve more accurate and nuanced sentiment classification.

New research reveals that the narrative framing of corporate earnings calls-beyond the numbers themselves-systematically influences analyst forecasts and ultimately, realized earnings.

A new deep learning approach dramatically improves our ability to identify galaxy mergers, even faint and distant ones, revealing a more complete picture of galactic evolution.

A new framework uses the power of artificial intelligence to accurately understand the reasoning behind complex transactions on decentralized finance platforms.

A new study shows that reinforcement learning agents can develop surprisingly effective trading strategies by learning directly from simulated market dynamics.