Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

The pharmaceutical and medical device industries stand at an inflection point. After decades of reliance on traditional ...

The renowned physicist Dr. Richard Feynman once said: “What I cannot create, I do not understand. Know how to solve every problem that has been solved.” An increasingly influential subfield of ...

To enable the accurate and repeatable execution of a computational simulation task, it is important to identify both the algorithm used and the initial setup. These minimum information requirements ...

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely ...

Scientists at the University of British Columbia Okanagan say they’ve found a mathematical limit that shuts down the ...

A team of computational astrophysicists has developed a simulation that explains the behavior of matter around black holes.

The human brain is an organ of incredible complexity, composed of 100 billion interconnected nerve cells. However, even with the help of the most powerful supercomputers available, it is currently ...

Today, numerous EDA tools and flows for accurate and efficient RFIC design are commercially available. However, only three algorithms for circuit simulation dominate the industry: transient, PSS ...