The oncology field is experiencing a profound shift due to the rapid integration of artificial intelligence (AI) and machine ...

Federally licensed firearm dealers are an important target of regulatory and enforcement efforts aimed at reducing the supply ...

Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers ...

Kernel methods are a powerful class of algorithms used in machine learning, particularly for tasks involving regression and classification. They leverage the concept of kernels, which are ...

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a ...

This is particularly important for optimizing algorithms, as many machine learning models rely on gradient-based optimization methods. Recent research has focused on enhancing the efficiency ...

The integration of AI into cyberattacks marks a significant escalation in the threat landscape. Traditional methods, such as ...

Malicious URLs are among the most common vectors for cyberattacks, enabling phishing, malware distribution, and data theft.

Self-supervised learning is based on two methods. In masked learning – as the name suggests – a portion of the input data is ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...