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

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, ...

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

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

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 ...

The intersection of artificial intelligence, human learning, and behavior change has gained increasing importance in recent years. Traditional adaptive ...

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 ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

Alex Gerko’s bold bet on AI has made his trading firm, XTX Markets, one of the most profitable players in the secretive world ...