Data Overload And Decision Paralysis: How To Get Unblocked

Instead of creating a false binary between thoughts and emotions, we need a practical framework for understanding how they ...
BMJ Open

Pilot randomised controlled trial of the self-help plus stress management intervention among patients with breast and gynaecological cancer in Viet Nam: a study protocol

Introduction Implementation of low-intensity, evidence-based psychological interventions can help meet the mental health and ...

AI Risk Controls Touch Everyday U.S. Users, Building a “Safety Buffer” Between Credit Cards and Crypto

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.
Mass Transit

Why Penetration Testing Matters for Passenger Transit

By integrating penetrating testing into strategic planning and budgeting, agencies can evolve from a reactive cybersecurity ...
IEEE

Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges

Abstract: Machine learning (ML) has rapidly advanced in recent years, revolutionizing fields such as finance, medicine, and cybersecurity. In malware detection, ML-based approaches have demonstrated ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...
Tech Xplore

New method improves the reliability of statistical estimations

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.