N - Definitions

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  • N

    neural net processor

    A neural net processor is a central processing unit (CPU) that holds the modeled workings of how a human brain operates on a single chip.

  • neuromorphic computing

    Neuromorphic computing is a method of computer engineering in which elements of a computer are modeled after systems in the human brain and nervous system.

  • neurosynaptic chip

    A neurosynaptic chip, also known as a cognitive chip, is a computer processor that is designed to function more like a biological brain than a typical central processing unit (CPU).

  • What is a neural network?

    A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain.

  • What is narrow AI (weak AI)?

    Narrow AI is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose.

  • What is natural language generation (NLG)?

    Natural language generation (NLG) is the use of artificial intelligence (AI) programming to produce written or spoken narratives from a data set.

  • What is natural language processing (NLP)?

    Natural language processing (NLP) is the ability of a computer program to understand human language as it’s spoken and written -- referred to as natural language.

  • What is natural language understanding (NLU)?

    Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input in the form of sentences using text or speech.

  • What is neural radiance field (NeRF)?

    Neural radiance fields (NeRFs) use deep learning to turn 2D images of objects or scenes into detailed 3D representations by encoding the entire scene into an artificial neural network.

  • What is neuro-symbolic AI?

    Neuro-symbolic AI combines neural networks with rules-based symbolic processing techniques to improve artificial intelligence systems' accuracy, explainability and precision.