Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...

Big models did not guarantee results in 2025. Now companies want AI that works under pressure and earns trust.

The National Wind Institute at Texas Tech University announced it installed two new mesonet stations near Hunt, Texas. The stations are located near Camp La Junta and M-Bar-M Ranch. This area ...

As AI remakes the travel industry, one acronym is sparking both excitement and confusion: MCP, or Model Context Protocol. But ...

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

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

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

A new University of California San Diego School of Medicine study offers a unified biological model to explain how genetic predispositions and environmental exposures converge to cause autism spectrum ...

Model Context Protocol (MCP) is an open-source and universal communication protocol that allows AI models to connect to external data sources. MCP has been developed by Anthropic, and Google, OpenAI, ...

A controversial data center proposal in Naperville is set to once again come before the Planning and Zoning Commission Wednesday evening. Developer Karis Critical’s plan calls for the construction of ...

Currently, there are several hypotheses surrounding the disappearance of Neanderthals. While they all have at least some scientific support, researchers can't agree on which—or which combination—is ...

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).