EVE Frontier' developers Helgi Freyr Rúnarsson and Guðlaugur Jóhannesson talk galaxy merger models, black holes, and the thin ...

Since the 1990s, evidence has been growing that quantum computers should be able to solve a range of particularly complex ...

As we delve deeper into the cosmos, artificial intelligence (AI) is becoming an indispensable tool, enabling scientists to ...

When most people think of computer simulations, they imagine sleek graphics or Hollywood-style animations. But for Tayfun ...

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge in ...

Complexity theorists sort problems into categories, called complexity classes, based on the resource demands of the best algorithms for solving them—that is, the algorithms that run fastest or ...

Most problems can be solved by many different algorithms, each with its own demands on time and space. Complexity theorists sort problems into categories, called complexity classes, based on the ...

Knowing the space complexity of machine learning algorithms will help one make better decisions regarding efficient deployment and resource management, especially when machine learning models have to ...

Climate models can be a million lines of code long and can take months to run on supercomputers. A new algorithm has dramatically shortened that time.