A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...

This innovative approach combines climate data, archaeological evidence, and population dynamics to simulate how Neanderthals moved across the landscape. The model reveals that by the time ...

Weather forecasting is one of the most advanced sciences on Earth. But it’s also one of the most complex and humbling. Here's ...

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.

With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

Instead ChatGPT has become perhaps the most successful consumer product in history. In just over three years it has ...

Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock ...

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.

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

Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...

Abstract: Model-based control for continuum robots is often based on the piecewise constant curvature (PCC) assumption. However, the actual physical motions of continuum robots deviate significantly ...