Combine scalable analytics with advanced AI capabilities like LLMs and agentic tasks to create a new chipmaking platform.

In the fast-paced world of semiconductor manufacturing, achieving higher yields and reducing costs are constant challenges. Ideally, yield should only be impacted by unavoidable defects when ...

Semiconductor manufacturing is the foundation for technologies ranging from smartphones and electric vehicles to artificial intelligence and cloud computing. The process demands extreme precision in ...

Cycle time prediction is a critical process in semiconductor manufacturing, where it serves as an essential tool for optimising production schedules, reducing operational costs, and enhancing overall ...

After more than a decade of research and development, Tokyo Electron Miyagi Ltd. has introduced an innovative semiconductor etching method that achieves etch rates up to five times faster than ...

The semiconductor industry continually pushes the boundaries of device performance through advanced process modelling and epitaxial growth techniques. In this context, sophisticated simulation methods ...

As the semiconductor industry moves to smaller scales, it must overcome several technical challenges. In 2025, we expect three key developments to make headlines: Gate-All-Around transistor designs, ...

It will likely enhance smartphones by improving their on-board AI capabilities, Compared with the N2 process, which is about to enter volume production later in 2025, A14 will offer up to 15% speed ...