The Busy Beaver Challenge, a notoriously difficult question in theoretical computer science, is now producing answers so ...

To pave the way for the new Department of Data Science and Bachelor of Science in Data Science, VSU deactivated its Bachelor of Science in Applied Mathematics, Bachelor of Science in Physics, Bachelor ...

While computer science education experts acknowledged the uncertainty of the job market right now, they argued it’s still ...

Problem-solving in technical fields often demands more than logic and precision; it requires the ability to see challenges ...

Few topics in science are as fascinating and mind-bending as quantum computing and parallel universes. These concepts, ...

Survey results from the National Assessment of Educational Progress show 8th graders do less scientific inquiry now than five ...

Multivariate porous materials (MTV) are like a "collection of Lego blocks," allowing for customized design at a molecular ...

Carnegie Mellon University is helping define how artificial intelligence reshapes science — from accelerating discovery to scaling up new technologies. Ahead of the AI Horizons Summit, Barbara ...

Abstract: Large-scale sparse multiobjective optimization problems (LSMOPs) are of great significance in the context of practical applications, such as critical node detection, feature selection, and ...

Human actions have left a significant mark on Earth and the space around it. The mounting waste problem, whether on land, in the oceans, or in Earth’s orbit, demonstrates the consequences of unchecked ...

That’s why I was thrilled to see an article in the glossy magazine of the California Institute of Technology (Caltech), which not only celebrated engineering problem-solving but did so with specifics ...

Abstract: Selecting an appropriate prior to compensate for information loss due to the measurement operator is a fundamental challenge in imaging inverse problems. Implicit priors based on denoising ...