Modern malware programs employ sophisticated techniques to maintain persistent command and control (C2) communication with ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

NewYork-Presbyterian researchers have developed a deep learning model that increases doctors' abilities to diagnose ...

Wastewater surveillance became a popular choice among public health officials looking to track rapid virus mutations and ...

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

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

This review covers recent advances in artificial intelligence (AI) for aquatic species identification and conservation, ...