Test automation has been pivotal in accelerating software releases, but it came with a high learning curve that limited its reach. No-code testing platforms helped ease that by enabling teams to ...

Tricentis, a global leader in continuous testing and quality engineering, is introducing its spring release, adding new cloud capabilities for the company’s AI-powered, model-based test automation ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

The complexity of software architecture and diverse user interactions presents challenges to conventional testing approaches. Traditional test automation and quality assurance engineering represented ...

The core of this collaboration is to implement a robot foundation model by combining POSCO DX's robot simulation and control technology with NC AI's AI model. A robot foundation model refers to a ...

AI automation typically requires task-level fixed costs, such as model training or fine-tuning. We develop a quantitative task-based framework in which automation depends jointly on relative marginal ...

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 ...

A new technical paper titled “Novel Transformer Model Based Clustering Method for Standard Cell Design Automation” was published by researchers at Nvidia. “Standard cells are essential components of ...