Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, and code. Large Language Models (LLMs) can generate text. Vision models can ...

Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

Abstract: Model-Based Systems Engineering (MBSE), as a logical progression from document-based systems engineering (SE), presents challenges for organizations in terms of both implementation and ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

The company said on Tuesday that it was holding back on releasing the new technology but was working with 40 companies to explore how it could prevent cyberattacks. By Kevin Roose Reporting from San ...

Dendritic computation is key to the brain’s ability to integrate information over long timescales. Inspired by this, this study proposes a spiking neural network model that embeds dendritic mechanisms ...

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 ...

Volvo CE designs smarter with model-based systems engineering (MBSE). By connecting requirements, models and field data into a single digital thread, they were able to reduce errors, accelerate ...

Background: Large language model (LLM)-based AI coaches show promise for personalized exercise and health interventions. However, the unique demands of ensuring safety and real-time, multimodal ...