While artificial intelligence is advancing at a rapid rate, the learning resources for artificial intelligence are also increasing at an equally rapid.

Radiomics extracts quantitative data from medical images, but its role in predicting deterioration after traumatic brain ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine.

The chain of the first 3 blocks can be organized in a parallel multi-channel structure that is followed by one or several aggregation blocks. The final decision about the class is made based on the ...

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

bSchool of Nursing, Hunan University of Medicine, Huaihua, Hunan Province, China cSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou Province, China dThoracic Surgery Department, Affiliated ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Abstract: Machine learning (ML) models were used to determine the moisture content (MC) for multiple grains and seeds after training on a large dataset obtained through several decades of research.

Abstract: In an era where cyber attacks are getting increasingly complex, the incorporation of machine learning (ML) algorithms into cybersecurity processes has emerged as a crucial technique for ...