When children use AI to help with schoolwork, the productivity boost is often immediate and visible. The cost is delayed and ...

Tuberculosis, caused by the bacterium Mycobacterium tuberculosis (Mtb), is the world's deadliest single-agent infection, ...

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Abstract: Feature selection is a technique commonly used in Data Mining and Machine Learning. Traditional feature selection methods, when applied to large datasets, generate a large number of feature ...

Abstract: Anomaly detection has been an important research topic in data mining and machine learning. Many real-world applications such as intrusion or credit card fraud detection require an effective ...