HKU researchers developed MorphoGenie, an interpretable AI that analyzes cell images to uncover subtle biological patterns.

Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...

A research team led by Professor Kevin Tsia, a professor from the Department of Electrical and Computer Engineering under the Faculty of Engineering and the Programme Director of the Biomedical ...

Stunningly translucent, precise and merciless, rock crystal tests every hand that shapes it – and rewards with a rare mastery ...

Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge ...

The senior managing partner poses the question while showing Monocle around his firm’s new digs. The arrival experience, for ...

As the doors close on Watches and Wonders Geneva 2026, the horological world is left to digest one of the most ambitious and ...

Stop settling for flat photos. Learn how to make Gaussian Splats using just your smartphone, and turn everyday moments into ...

A new player-created tool just made things a whole lot easier for Tomodachi Life: Living the Dream players who want ...

Abstract: Accurate depth maps are essential for robotic grasping. However, transparent objects often cause depth cameras to produce missing or distorted depth due to reflection and refraction, making ...