Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

Manufacturing companies are increasingly exploring the use of artificial intelligence to improve efficiency and reduce operational waste. At JKO Nigeria Enterprise, a firm specialising in industrial ...

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

Virtual production is coming of age and entering a phase defined less by experimentation and more by repeatability, ...

Depending on who you listen to, AI will cause widespread disruption and unemployment, especially at starting and lower middle ...

Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

In International Journal of Extreme Manufacturing, researchers at the University of Science and Technology Beijing developed ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

OpenAI has released GPT-Rosalind, a large language model fine-tuned specifically for life sciences research, marking the ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...