Definition
Unsupervised learning
Training a model on unlabeled data so it finds patterns and groupings on its own.
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Related terms in AI Fundamentals
TransformerThe neural network architecture behind modern AI. It uses attention to look at all parts of the input at once instead of one piece at a time.Transparent AI ReasoningThe design requirement that an AI system articulate its reasoning — what it observed, what that implies, and what published evidence supports the inference — before its output reaches a human decision-maker. Axenya's implementation: every clinical inference surfaces with a reasoning chain and supporting literature citations; inferences the model cannot explain are suppressed entirely. Addresses two risks simultaneously: clinician liability (the physician can see and evaluate the reasoning before acting on it) and AI error rates (unexplained outputs may reflect spurious correlations rather than valid clinical patterns).Turing testA test proposed by Alan Turing in 1950: can a machine hold a conversation well enough that a person can't tell it apart from a human?Uncanny ValleyThe creepy zone where an AI feels almost human and people recoil once they realize it is not.VectorA numerical representation of any data object. Vectors allow machine learning models to understand and compare information mathematically — the building block of semantic search.Vector SearchA method of finding relevant documents by measuring mathematical similarity between text embeddings. Effective but blind to relationships between documents that don't share identical language.Vertical AIAI built deeply for one specific domain or industry rather than for general use.Vertical AI IntegrationAI tools built specifically for a defined industry or workflow rather than the general public. Stronger retention because they solve a specific, repeated pain point deeply.