Name the hot buttons about generative artificial intelligence, and they often center around data. Concern over understanding the context of data stems from the need to ensure that AI models are ...

Context helps AI interpret information instead of just processing it. When systems can connect data, history and intent, they make better and more consistent decisions.

A multidisciplinary team integrated clinical need, cancer biology, and microfluidic bioengineering to advance ...

The discipline of artificial intelligence is valuable to business because computers that act more like humans will work better in our chaotic and unpredictable world. The study of the human mind, both ...

A recent study published in Engineering presents a novel framework named ERQA (mEdical knowledge Retrieval and Question-Answering), which is powered by an enhanced large language model (LLM). This ...

As heterogenous integration increases design complexity and forces engineers out of long-standing silos, model-based systems engineering (MBSE) is becoming essential for improving quality and reducing ...

Introduces technical managers involved in Systems Engineering to digital engineering, with a focus on Model Based Systems Engineering (MBSE) and how it is used during system development. Concepts ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...