Recently, spoken language models (SLMs) have been highlighted as next-generation technology that surpasses the limitations of ...

AI introduces a dynamic, context-aware, and data-driven approach to capital allocation. Using machine learning algorithms, ...

The prediction of loan defaults is crucial for banks and financial institutions due to its impact on earnings, and it also plays a significant role in shaping credit scores. This task is a challenging ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

These waves are at least twice as tall as the surrounding waves. They’re unpredictable. They can come from unexpected ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Anti-infective discovery is evolving with AI and robotics – learn how UK researchers aim to cut development time and improve ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Traditional meta-heuristics have good performance on solving black box problems with flexibility, derivation-free mechanism and local optima avoidance. How-ever, due to the simplicity of most models, ...

In performance tests, RANK achieved a dramatic 99.56% reduction in alerts requiring human review using the DARPA TC dataset, and a 95% reduction on real enterprise datasets. These results underscore ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, with only 0.172% of the transactions being fraudulent. To mitigate this, ...

Extracellular polymeric substances (EPS)-related biofouling in anaerobic electrochemical membrane bioreactors (AnEMBR) is commonly mitigated, yet the underlying mechanisms require further elucidation.