Understanding randomness is crucial in many fields. From computer science and engineering to cryptography and weather ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

Improvising the performance of machine learning for applications in the field of computer science leads to create new algorithms. As these are being optimized, using the algorithms of the classical ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Artificial intelligence (AI) usually requires a lot of computing power and energy, which can be a problem for small devices ...

The special section begins with articles that address the sustainability of computing. The first four focus on AI’s ...

Amateurs Solve a Famous Computer Science Problem On Discord A team of amateurs recently came together in an online collaboration called the Busy Beaver Challenge to pin down the value of BB (5), the ...

This survey paper provides an overview of current developments for the Portfolio Optimisation Problem (POP) based on articles published from 2018 to 2022. It reviews the latest solution methodologies ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

OBITUARY 10 June 2025 Peter Lax obituary: mathematician who pioneered computer-based solutions to real-world problems ...