Robotics programs require egocentric, multi-sensor training data at a scale that is growing exponentially, creating a procurement challenge distinct from any prior AI development cycle Annotation ...

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 ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

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 ...

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

New legal startups are launching at a fortuitous time, and owe their growth to more than just technology advances.

Could you provide an overview of the Develop hypersomnia Understanding by Evaluating low-sodium oxybate Treatment (DUET) ...

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

Meta plans to layoff 8,000 employees as AI spending surges, reflecting a wider tech industry shift toward infrastructure over ...

AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

AI-powered data annotation is transforming how teams prepare training datasets, blending automation with structured human review to achieve high accuracy at scale. From clinical research to autonomous ...

AI’s cavalcade of constraints. Uncovering a lost sacred manuscript. Why it’s okay to drink a little coffee before bed. All ...