Science

A new multi-agent system leverages the power of large language models to detect and mitigate manipulation in the volatile world of memecoin copy trading.

Researchers are exploring whether incorporating common human cognitive biases into artificial intelligence trading agents can improve financial decision-making.

New research demonstrates that advanced deep learning architectures, particularly Transformers, can significantly improve portfolio performance and stability, even amidst market turbulence.

New research demonstrates that advanced artificial intelligence models are transforming agricultural price forecasting, offering a significant leap forward from traditional methods.

New research combines EEG and eye-tracking to pinpoint the neural signatures of deep cognitive attention and identify key brain regions involved in sustained focus.

As artificial intelligence becomes increasingly integrated into business, a growing trend of exaggerated claims and misleading representations threatens to erode public confidence and hinder genuine innovation.

This review explores the growing integration of artificial intelligence and machine learning into the core of 5G and future wireless networks, enabling more efficient and secure communication.

New research reveals that trading signals derived from the Chinese market continue to predict American stock performance, even when accounting for traditional financial metrics.

New research explores the potential of machine learning models to predict dementia risk using routine healthcare data, offering a promising path towards earlier diagnosis and intervention.

A new framework leverages neural networks to dramatically improve the accuracy and speed of calibrating complex agent-based models for financial market forecasting.