We are always amused that we can run emulations or virtual copies of yesterday’s computers on our modern computers. In fact, there is so much power at your command now that you can run, say, ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

This paper discusses how interval analysis can be used to solve a wide variety of problems in computer graphics. These problems include ray tracing, interference detection, polygonal decomposition of ...

Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...

Remember when finding information online meant typing exact keywords and hoping for the best? When search engines couldn’t tell the difference between “apple” the fruit and “Apple” the tech giant? How ...

Abstract: The paper presents a variant of realization and research of iterative division based on the Goldschmidt algorithm. Unlike the basic algorithm, no scaling of arguments is required, and all ...

Framework Design: Designed and implemented an efficient multi-agent DRL training framework for cooperative observation scenarios. 🧠 Probabilistic Estimation: Proposed a probabilistic matrix ...

Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...

From private information retrieval to federated learning, new approaches to securing information are not only resulting in practical data security solutions but also ways of rethinking data ...