In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...

Accurate and reliable analytical data is essential for effective decision making in today’s competitive industrial landscape, especially in the condition monitoring arena, which focuses on predictive ...

SDLC guides teams to plan, build, test, and deliver software. Discover phases, KPIs, tools, and checklist with our quick ...

The AI surge is forcing application vendors to restructure how they deliver and charge for solutions. Software companies will ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

Abstract: The study aims to investigate how combining many technologies may improve the scalability, adaptability, and security of network engineering systems. Some of the technologies that come under ...

AI is reshaping Agile development. Here's how teams can boost productivity and quality while avoiding the biggest risks.

In the early 2000s, only a small fraction of textile printing was digital. By 2022, digital methods accounted for just 6.6% of global output, equal to 3.3 billion square meters of fabric, with ...

Andrej Karpathy says that reinforcement learning is still terrible but better than all other AI learning approaches. Elon ...

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...

Nobody likes to spend time at their local car dealership service department. It’s expensive, time-consuming, and often inconvenient. So as modern cars have become ever-dependent on onboard software ...

Abstract: This paper evaluates GPT-Engineer, an open-source AI-powered tool leveraging OpenAI’s models, other Large Language Models (LLMs), and flexible integrations to enhance software engineering ...