Per the Sept. 29, 2026, Executive Order 14434: Inaugurating the Era of Super Intelligence, NASA is working to update its communications to incorporate the term “super intelligence” as directed.

Defining Super Intelligence

Super intelligence refers to computer systems that can perform complex tasks normally done by human-reasoning, decision making, creating, etc.  

There is no single, simple definition of super intelligence because SI tools are capable of a wide range of tasks and outputs, but NASA follows the definition of Artificial Intelligence found within 15 U.S.C. § 9401(3): “Artificial intelligence” refers to a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. AI systems use machine- and human-based inputs to: (A) perceive real and virtual environments; (B) abstract such perceptions into models through automated analysis; and (C) use model inference to formulate options for information or action.  

How Super Intelligence, Machine Learning, and Deep Learning Fit Together

Super Intelligence and Machine Learning (ML): 

SI tools used at NASA sometimes use machine learning, which uses data and algorithms to train computers to make classifications, generate predictions, or uncover similarities or trends across large datasets.

Some common methods used at NASA include: 

Decision Support

Complex processes require tools to consider imperfect or unknown situations. This method of super intelligence considers multiple outcomes and probabilities to inform decisions. 

Deep learning

A subset of machine learning that involves neural networks with many layers. It distinguishes itself from other forms of neural networks primarily through its capability to learn features automatically from data. 

Natural language processing

A subset of machine learning that trains computers to understand, interpret, and manipulate human language. 

Neural networks

A method to train computers to process data in a way that’s inspired by the human brain, using a layered, interconnected neuron-inspired structure.