artificial intelligence
the discipline that builds machines capable of learning and decision-making. born at the 1956 Dartmouth workshop, AI bridges ai (the phenomenon of machine intelligence), comp (the computational substrate), and neuro (the biological inspiration)
in the crystal, artificial intelligence spans three domains:
ai — machine learning, training, inference, neural networks, graph neural network, agi
comp — algorithms, complexity theory, optimization, data structures
neuro — biological neural networks, attention, predictive coding, free energy principle
branches
machine learning → ai (supervised, unsupervised, reinforcement learning)
deep learning → ai + comp (transformers, CNNs, neural networks, LLMs)
robotics → ai + tech + sense (perception, planning, manipulation)
NLP → ai + lang (NMT, language models, natural language semantics)
computer vision → ai + sense (image recognition, segmentation)
multi-agent systems → ai + game (coordination, competition, swarm intelligence algorithms)
trident verifiable AI → ai + crypto (provable inference on cyber)