Glossary

Effective Accelerationism (E/Acc) is a revolutionary philosophy emphasizing the fast-paced growth of AI technologies, with the belief that this acceleration can spur substantial societal improvements.

Edge AI is essentially the fusion of AI and edge computing, enabling faster data processing and decision-making by performing AI computations at the source of data collection instead of remote data centers.

An Echo State Network refers to a unique type of recurrent neural network known for its sparsely connected hidden ‘reservoir’. Neuron connectivity and weights are fixed and randomized in ESNs.

Diffusion Models are key components in machine learning, comprising the forward & reverse process and the sampling procedure. Known also as probabilistic or score-based models.

Explore different types of dialogue systems in AI like rule-based, statistical, or neural networks. Each system has its unique benefits and limitations tailored for structured conversations.

Dimensionality Reduction refers to the technique of minimizing the complexity of high-dimensional data while retaining its essential aspects, optimizing computation, and enhancing data analysis.