Aftab Uddin Unveils AI-Driven Risk Model, Marking a New Frontier in U.S. Financial Stability and Portfolio Optimizatio

NEW YORK, NY, UNITED STATES, March 26, 2026 /EINPresswire.com/ -- As international financial systems continue to become ...
Duke Pratt School of Engineering

Hai “Helen” Li Named American Association for the Advancement of Science Fellow

Li was recognized for contributions to the hardware design and implementation of machine learning algorithms, their ...

CorVista Health to Present New Data on Non-Invasive Point of Care Test for Ischemia with Non-Obstructive Coronary Arteries Using Machine Learning at ACC.26

CorVista Health today announced the upcoming poster presentation of new data on its non-invasive point of care test for ischemia with non-obstructive coronary arteries (INOCA) -- a common condition, ...

The Future Of AI Privacy: How Federated Learning Is Revolutionizing Data Security

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a ...

Governing the Machine: Why AI is Now a Regulatory Priority for Financial Institutions

Artificial Intelligence has moved beyond experimentation in financial services. It is now deeply embedded in credit ...
IEEE

Optimal Channel Selection for FY-4B GIIRS Explainable Machine Learning Cloud Detection Algorithm

Abstract: Cloud detection is a crucial preliminary step for assimilating meteorological satellite observation and retrieving other atmospheric parameters. This article presents an explainable machine ...
financefeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Frontiers

Machine learning–based prognostic modeling for locally advanced non-small cell lung cancer treated with immuno-radiotherapy

Patients with locally advanced non-small cell lung cancer (NSCLC) who undergo concurrent chemoradiotherapy (CCRT) followed by consolidation immunotherapy show heterogeneous survival outcomes. Accurate ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
IEEE

Accurate Residential Net Load Forecasting With Hybrid Statistical and Machine Learning Techniques Enhanced by Advanced Decomposition Method

Abstract: The increased use of renewable energy (RE) in residential settings is driving the demand for smart energy management systems (EMS) to optimally coordinate the purchasing and selling of power ...