Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

OPT needs to know the future access sequence Theoretically best cache hit rate Always replaces the data item that will be accessed "furthest in the future" In deep learning training, data access ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Agenda-driven opinion mills, designed more to sway public opinion than serve the public, might be harder to spot if AI is used to make them sound more original and rational. So the race is on to stay ...

Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to ...

Abstract: The application of machine learning technology for invasive diabetes diagnosis has become a research trend in the medical sector in recent years. Recent research has demonstrated a ...

This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...

Abstract: Sentiment analysis, a subset of natural language processing, focuses on identifying the emotional tone within text computationally. This study reviews machine learning algorithms used in ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...