A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Abstract: In this letter, a Model Predictive Control (MPC) approach based on the Incremental Sparse Gaussian Process (ISGP) is designed for trajectory tracking of Unmanned Underwater Vehicles (UUVs).

Enterprises are rethinking VMware migrations with a factory model that delivers faster, leaner, more predictable results. In partnership withPersistent In 1913, Henry Ford cut the time it took to ...

Introduction Community participatory modelling merges participatory research approaches with mathematical modelling. Participatory approaches are grounded in the engagement of people with lived ...