Reflecting on the history of the computer industry, it all began with a small transistor, evolving into integrated circuits and eventually transforming into powerful CPUs capable of processing billions of instructions per second. Intel dedicated decades to optimizing CPU for complex instructions and refining branch predictors to enhance computational speed. However, this focus on intricate processing was rendered historical with the rise of GPUs by Nvidia. Instead of relying on complicated branch predictors, GPUs use hundreds of thousands of small cores to achieve significant computation throughput, which is particularly useful in large-scale computer graphic processing. This shift has empowered us to recreate real-world environments in the digital realm, unlocking immense potential.

Following a November 15 decision from Germany's Federal Constitutional Court against the transferring of EUR60 billion - granted during the Covid-19 pandemic but unspent in fiscal 2021 - into its Climate and Transformation Fund (Klima- und Transformationsfonds, KTF), the three-way ruling coalition led by German Chancellor Scholz is left to confront a budget shortfall that potentially undermines Germany's long-term chip investment, along with the problem posed by so-called special funds (Sondervermögen) that have long functioned as a shadow budgetary source unconstrained by the country's constitutionally enshrined debt brake introduced in 2019.

During an email interview, Atomera founder and CTO Robert Mears discussed how dopant diffusion affects chipmaking and options for delving into the dopant diffusion process to accomplish gate-all-around (GAA). Mears also explored the impact of AI on the semiconductor manufacturing industry.

Chinese semiconductor equipment manufacturers are luring experts to develop their extreme ultraviolet (EUV) lithography equipment to decrease reliance on ASML EUVs, which was blocked by the US and its allies from selling to China.