Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

This project aimed to critically assess the use of machine learning algorithms for policing, and provide practical recommendations to contribute to the fast-moving debate on policy and governance in ...

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...

Housing tends to be a key part of household wealth, but despite its importance, it has been difficult to measure the value of a property. In a new article, researchers have studied the impact of a ...

One of the hallmarks of human intelligence is to be able to incorporate learning, and to get smarter over time as new data gets integrated into your brain’s knowledgebase. Traditionally, computers are ...

Scientists from the University’s Quantum Engineering Technology Labs (QETLabs) have developed an algorithm that provides valuable insights into the physics underlying quantum systems - paving the way ...