Automatic data classification algorithms are central to research across many disciplines; the K-NN algorithm promises to further AI in healthcare...

Transfer learning is a technique that allows models to utilize data from sets previously used in order to approach a new target data set...

AI is developing rapidly as scientists find more ways to have it mimic natural processes, like using Darwin's theory of evolution...

Knowledge representation is a familiar concept within AI. A representation plays five fundamentally different roles, each placing different expectations on...

Data handling mechanisms that help offload the cloud and make a more rapid transmission and analysis of data in wearable devices...

Research in AI is currently focused on creating energy-efficient Machine Learning systems that do not sacrifice much accuracy due to memory constraints...