Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

The presenter does a really excellent job of explaining the value and power of ChatGPT's collaborative editing feature, called Canvas. He also has a creatively bizarre filming set with a pool table, a ...

Elecrow “All-in-One Starter Kit for ESP32-P4” is an open-source learning and prototyping platform based on the ESP32-P4 ...

Abstract: Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers, due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate ...

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...