In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

This paper aims to scrutinize the effectiveness of three main algorithms from the machine learning, they are K-Nearest Neighbor, Support Vector Machine and Artificial Neural Network for classifying ...

Prashant has spent years at the intersection of high-throughput financial systems and artificial intelligence. His journey ...

Researchers at Tongji University and the Shanghai AI Lab show that graph-based neural networks can uncover hidden money-laundering rings and ...

This research investigates the efficacy of various machine learning algorithms in detecting malware. Utilizing a dataset of 20,000 observations with 33 features,28 classification algorithms are ...