Abstract: Large language models (LLMs) have demonstrated exceptional performance not only in natural language processing tasks but also in a great variety of non-linguistic domains. In diverse ...

In 2024, a national hardlines retailer confronted the problem directly. With offshore lead times stretching to 20 weeks, ...

We list the best Excel online courses, to make it simple and easy to improve your skills using Microsoft Excel. Microsoft Excel is very commonly used for recording numerical data like expenses and ...

This project demonstrates the full workflow of portfolio construction for 10 large NYSE stocks, combining Fama–French 3-factor regression analysis with Markowitz mean-variance optimization in Excel.

Abstract: We demonstrate the ability of large language models (LLMs) to perform iterative self-improvement of robot policies. An important insight of this paper is that LLMs have a built-in ability to ...

The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for a Scientist in Applied Mathematics, Modeling, and Optimization to contribute to the ...

Parametric Symbolic Regression (PSR) is a Python package that evolves symbolic expressions whose parameters can be optimized (e.g. with curve_fit or minimize). It combines genetic-programming style ...

Discover how Thilakavathi Sankaran is redefining retail intelligence through human-centered data transformation. Learn how ...

This presentation contains forward-looking statements within the meaning of federal securities law. Forward-looking ...