Glossary

A Boltzmann Machine is an artificial neural network featuring symmetrically linked binary neurons organized into distinct layers. Each neuron possesses a bias or threshold determining its activity frequency.

A Brain-Computer Interface is an innovative conduit facilitating real-time interaction between the human brain and external devices to aid research, augmentation and restoration of cognitive or sensory-motor capabilities.

Brain technology refers to advancements aimed at enhancing our comprehension and manipulation of the brain, benefiting society by improving cognitive function and enabling mind-controlled devices.

Binary Classification is a vital concept within machine learning, aimed at categorizing given observations into one of two possible classes. This supervised learning approach is an essential tool for numerous applications in the data-driven world.

Big O Notation is a mathematical concept used to gauge the efficiency or complexity of algorithms. It estimates the maximum number of operations needed as the input size increases, helping in analyzing algorithm performance.

Big Data in AI refers to the vast amounts of structured and unstructured data necessary for training machine learning models, leading to better predictive accuracy.