As instruments grow faster, leaders say clinical impact will depend on trust, standards, data, and assays built for real ...

Abstract: Inverse problems in medical imaging, such as undersampled magnetic resonance imaging (MRI) and sparse-view computed tomography (CT) reconstruction, are essential yet challenging tasks for ...

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) are promising methods for solving high-dimensional expensive problems. The basic idea of SAEAs is the integration of nature-inspired ...

But these Augusta University students have answers. Teams of student entrepreneurs tackled some of Augusta's community challenges by presenting their solutions Thursday at AU's Innovate Pitch ...

The most widely accepted scientific explanation for the arrival of all complex life on Earth has had an unsolved mystery at its heart. According to the theory, all plants, animals and fungi, known ...

What if the most complex problems plaguing industries today—curing diseases, optimizing global supply chains, or even securing digital communication—could be solved in a fraction of the time it takes ...

Calculation: A representation of a network of electromagnetic waveguides (left) being used to solve Dirichlet boundary value problems. The coloured diagrams at right represent the normalized ...

Quantum computing is a revolutionary technology already making waves in many industries, such as drug discovery, cryptography, finance, and logistics. It works by exploiting quantum mechanical ...

There’s one thing every planned permanent repository for spent nuclear fuel has in common: They’re all underground mines. Like any mine, a mined repository for nuclear waste is a complex feat of ...

Sentence-based mathematics problem-solving skills are essential as the skills can improve the ability to deal with various mathematical problems in daily life, increase the imagination, develop ...