Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...

Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...

For many years, scientists viewed Mercury as a world that no longer had an active geological history. The planet appears to ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

It uses a system called simplified molecular-input line-entry system (SMILES). This translates chemical 3D structures into ...