Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions.

The compiler analyzed it, optimized it, and emitted precisely the machine instructions you expected. Same input, same output.

A Berkeley-trained quantitative researcher who developed quantitative approaches to align internal credit assessments with ...

ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

Abstract: This paper presents a Two Stage stochastic Programming (TSSP) model for the planning of Multi-Microgrids (MMGs) in Active Distribution Networks (ADNs). The model aims to minimize the total ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...

Abstract: This work focuses on the wind power plants portfolio selection. We developed a stochastic optimization model whose objective function considers the financial risk and return, weighted by the ...