Physical artificial intelligence (AI) typically equates to robotics or some variation thereof. One of the key components of ...

This Research Topic focuses on advances in intelligent processing of biomedical signals and artificial intelligence for next-generation health, biometric ...

A research team from HKU Engineering has pioneered a fundamentally new imaging strategy known as AIMED (Arbitrary illumination microscopy with encoded depth), which utilizes a sub-sampling approach.

The rapid growth of large language models is placing increasing demands on data centers, where large volumes of data must be ...

New research by Brown University computer scientists may be a key step in bringing volumetric video—video that can be viewed from virtually any perspective in a 3D scene—to computers and smart ...

A new method called PackUV compresses massive 3D video data into everyday video formats, potentially bringing immersive video experiences closer to home televisions and computers.

NIR-II imaging has many advantages for preclinincal research as it supports deeper visualization with lower scattering and autofluorescence.

In the field of neuroscience, imaging techniques are central for unraveling the structure and function of the nervous system at molecular, cellular, ...

Abstract: In this text we propose a collection of enhanced quantum methods that would drastically enhance the efficiency and accuracy of biomedical image processing. There are four key methodologies ...

Abstract: Polar codes have garnered substantial research attention due to their impressive performance characteristics and have found applications in recent technologies, including 5G New Radio (NR) ...