The Hong Kong University of Science and Technology (HKUST) announced today that  its School of Engineering researchers have developed Mixture of Modality Experts (MOME), a groundbreaking large artificial intelligence (AI) model for non-invasive breast cancer diagnosis. Trained on the China’s largest multiparametric MRI (mpMRI) breast cancer dataset, MOME achieves expert-level accuracy in classifying tumor malignancy, comparable to that of radiologists with five+years of experience. This innovative solution is now undergoing extensive clinical validation across more than ten hospitals and partner institutions, including Shenzhen People’s Hospital, the Guangzhou First Municipal People's Hospital, and Yunnan Cancer Center, to validate its effectiveness and ensure real-world applicability.

Tech sector carbon emissions continued their rise in recent years, fueled by rapid advances in artificial intelligence (AI) and data infrastructure, according to the ITU-WBA Greening Digital Companies 2025 report.

The Mindoro Archeology Project, an international research initiative co-undertaken by the Ateneo de Manila University, has found evidence that the Philippine Islands were likely part of a vast and technologically advanced maritime network, whose people were capable of building sophisticated boats that could cross deep seas and regularly catch open-sea fish.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms. This was demonstrated on a photonic quantum processor by an international team of researchers of the University of Vienna. The work, recently published in Nature Photonics, shows promising new applications for optical quantum computers.

New research from the MRC Laboratory of Medical Sciences (LMS) will help more doctors use a simple test called Exercise Cardiac MRI to diagnose heart conditions accurately and at an earlier stage.