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  1. Cognitive computer

    cognitive computer implemented by using neural networks and deep learning is provided by the IBM company's Watson machine. A subsequent development by

  2. Bio-inspired computing

    Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology

  3. Abstraction (computer science)

    over sub-classes as seen in the object-oriented C++ and Java programming languages. Computing mostly operates independently of the concrete world. The hardware

  4. Cognitive science

    Cognitive science is the interdisciplinary, scientific study of the mind and its processes. It examines the nature, the tasks, and the functions of cognition

  5. Neo-Piagetian theories of cognitive development

    Neo-Piagetian theories of cognitive development criticize and build upon Jean Piaget's theory of cognitive development. The neo-Piagetian theories aim

  6. SyNAPSE

    SyNAPSE team for IBM is led by Dharmendra Modha, manager of IBM's cognitive computing initiative. The SyNAPSE team for HRL is led by Narayan Srinivasa

  7. Computer science

    applications. Programming language theory considers approaches to the description of computational processes, while computer programming itself involves

  8. Programming language theory

    class of programming languages now known as function-level programming languages. In 1977, Gordon Plotkin introduces Programming Computable Functions

  9. Natural computing

    reasoning, and response to stimulus, see Cognitive computing and . Cognitive capacities of present day cognitive computing are far from human level. The same

  10. Cognitive tutor

    developed also for other areas and subjects such as computer programming and science. Cognitive Tutors can be implemented into classrooms as a part of blended