This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

Mr. Shirky, a vice provost at New York University, has been helping faculty members and students adapt to digital tools since 2015. Back in 2023, when ChatGPT was still new, a professor friend had a ...

Publish your MATLAB® functions to MATLAB Production Server™ as Model Context Protocol (MCP) tools. This allows AI agents to call your functions, enhancing their capabilities with domain-specific ...

MATLAB is a leading environment for numerical computing, algorithm design, and data analysis used by engineers, researchers, and students worldwide. Prices matter because the total outlay depends on ...

As a small business owner, Liz understands the unique challenges entrepreneurs face. Well-versed in the digital landscape, she combines real-world experience in website design, building e-commerce ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

Ever wonder how the wealthy seem to pay less in taxes, even as their fortunes grow? The answer isn’t magic—it’s tax optimization. While most people scramble at tax time, rich individuals use ...

This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...

This practical workshop will introduce you to the MATLAB programming language and how to use it to carry out data analysis. You'll learn about importing data, statistical analysis, graphical ...

Learning a new skill can be difficult, especially when it’s relatively complex. It’s often hard to keep definitions, concepts, and descriptions straight when you’re trying to make inroads into an area ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...