Researchers have developed a novel graph-based framework to analyze transaction patterns in the privacy-focused cryptocurrency Monero, offering a path to detect illicit activity without breaking its core anonymity features.
A new deep learning framework combines advanced image analysis with explainable AI to improve both the accuracy and clinical understanding of diabetic retinopathy detection.
A new framework leverages the principles of information theory to quantify market efficiency and refine financial risk management.
As artificial intelligence reshapes the business world, this article provides a critical framework for accounting researchers to navigate the opportunities and challenges of this rapidly evolving landscape.
New research casts doubt on the ability of machine learning to consistently predict short-term binary option movements.
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.