Researchers at the University of Osaka have developed a deep learning model for rapid building damage assessment after floods ...

By Bismark SAKYIThe promise of artificial intelligence (AI) and machine learning (ML) to revolutionise anti-money laundering (AML) programmes has dominated headlines in recent years.From reducing ...

Threat actors are using anti-box tools, AI, and cloaking-as-a-service tactics to bypass security tools by showing a phishing ...

By examining patterns in the text data and metadata linked to job adverts, The use of learning algorithms has grown in popularity in the detection of fraudulent job postings. For this, Research ...

The rise in Machine Learning algorithms for identifying SMS spam has become popular due to a significant surge in unwanted text messages. Detecting SMS spam holds crucial importance for several ...

Zeng X. Unleashing the potential of exosome ncRNAs for early gastric cancer detection—a critical appraisal of machine learning approaches. … ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches when ...