Python libraries used in top AI and ML tools hacked

Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...

IIT Madras Pravartak Opends Admission For Applied AI And Deep Learning Course

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

IIT Madras Opens Admissions For 2nd Batch Of Applied AI & Deep Learning Programme

IITM Pravartak Technologies Foundation has announced admissions for the second batch of its Advanced Certificate in Applied ...
The Manila Times

Interview Kickstart's New Advanced Machine Learning and Agentic AI Program 2026 Helps Software Engineers Transition To Top ML and AI Roles

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...
IEEE

Financial Fraud Detection Using PaySim and Machine Learning

Abstract: Machine Learning (ML) algorithms are robust in addressing complex challenges, such as detecting financial fraud in real-world scenarios. This research highlights the significance of ML ...
IEEE

Fraud Detection in Financial Transactions Using Machine Learning Models

Abstract: Fraud in financial transactions is one of the fast growing problems. Digital payments are increasing in number and complexity. This makes it important to find ways to detect fraud early and ...
emjreviews.com

Machine Learning Shows Promise in Predicting RA Treatment Response

A NEW scoping review suggests that machine learning models may help predict treatment response to biologic and targeted synthetic disease-modifying antirheumatic drugs in rheumatoid arthritis, ...
Scientific Research Publishing

Ashtiani, M.N. and Raahemi, B. (2022) Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review. IEEE Access ...

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...
Scientific Research Publishing

Ali, A.A., Khedr, A.M., El-Bannany, M. and Kanakkayil, S. (2023) A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning ...

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...