Editor’s note: “Behind the News” is the product of Sun staff assisted by the Sun’s AI lab, which includes a variety of tools such as Anthropic’s Claude, Perplexity AI, Google Gemini and ChatGPT. Dewey ...

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On Wednesday, Anthropic released Claude Haiku 4.5, a small AI language model that reportedly delivers performance similar to what its frontier model Claude Sonnet 4 achieved five months ago but at one ...

DeepSeek's R1 model attracted global attention in January Article in Nature reveals R1's compute training costs for the first time DeepSeek also addresses claims it distilled OpenAI's models in ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Diffuse and direct radiation distribution are crucial for the design and construction of photovoltaic power systems. However, due to the high cost and relatively complex maintenance, there are ...

Due to the electrification megatrend, estimating battery model parameters using impedance data is of great interest, since typically battery model parameters are estimated using time domain data, and ...

Google’s newest AI model is going to scour the Earth and, ideally, help it out. That's the plan, anyway. The mission is to find out once and for all, in fine detail, what we are doing to our planet.

As one of the world’s top-selling cars—both electric or otherwise—the Tesla Model Y is undoubtedly important. With the recent so-called “Juniper” refresh for the 2026 Tesla Model Y, we were very ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...

The SAMR framework of technology integration—substitution, augmentation, modification, redefinition—has been around since 2010. Other models have been developed in that time, but I find the SAMR model ...

Abstract: Recent advances in cyclone global navigation satellite system (CyGNSS) data have significantly improved the extraction of monthly surface water fraction (SWF), with neural networks being ...