Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...
Zoom scored highest on AI's toughest benchmark by combining models from OpenAI, Google, and Anthropic — sparking fierce ...
Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...
Jean-Charles Pelland's work has been made possible by financial support from the ‘QUANTA: Evolution of Cognitive Tools for Quantification’ project, which has received funding from the European ...
The LLM4TR framework proposed in this survey. A curated collection of papers, datasets, and resources related to Large Language Models for Transportation (LLM4TR). This repository serves as the online ...
As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...
Dairy farms are complex systems requiring coordinated management of livestock, manure, and feed. In recent decades, the U.S. dairy industry has consolidated into fewer, larger farms with a substantial ...
Abstract: As a system engineering method, MBSE (Model-Based Systems Engineering) is widely used in maritime systems, but its method characteristics, challenges and industrial adoption are not fully ...
August 20, 2025—Model-based systems engineering (MBSE) is a decades-old, formal methodology for improving communication, productivity, and quality during the development of complex systems. While MBSE ...
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