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  2. MEMS for in situ mechanical characterization - Wikipedia

    en.wikipedia.org/wiki/MEMS_for_in_situ...

    Several results in situ SEM and TEM were demonstrated for thin films by his group [7] including a stage for simultaneous electrical and mechanical testing, although this set-up used external actuation and sensing. [8] A major breakthrough in MEMS-electronic integration was made by Horacio D. Espinosa and his group at Northwestern University.

  3. Physics-informed neural networks - Wikipedia

    en.wikipedia.org/wiki/Physics-informed_neural...

    Physics-informed neural networks for solving Navier–Stokes equations. Physics-informed neural networks (PINNs), [1] also referred to as Theory-Trained Neural Networks (TTNs), [2] are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).

  4. In situ - Wikipedia

    en.wikipedia.org/wiki/In_situ

    In petroleum engineering, in situ techniques involve the application of heat or solvents to extract heavy crude oil or bitumen from reservoirs located beneath the Earth's surface. Several in situ methods exist, but those that utilize heat, particularly steam, have proven to be the most effective for oil sands extraction.

  5. Center for Neurotechnology - Wikipedia

    en.wikipedia.org/wiki/Center_for_Neurotechnology

    The CNT has developed new undergraduate curriculum for the University of Washington that includes the course Neural Engineering, Neural Engineering Lab and Neural Engineering Tech Studio. An undergraduate minor in Neural Computation and Engineering is now available. [10] Materials from these courses will be disseminated to partner institutions ...

  6. Neuromorphic computing - Wikipedia

    en.wikipedia.org/wiki/Neuromorphic_computing

    Neuromorphic engineering is an interdisciplinary subject that takes inspiration from biology, physics, mathematics, computer science, and electronic engineering [4] to design artificial neural systems, such as vision systems, head-eye systems, auditory processors, and autonomous robots, whose physical architecture and design principles are ...

  7. American Engineers' Council for Professional Development

    en.wikipedia.org/wiki/American_Engineers'_Council...

    Engineers' Council for Professional Development. (1978). Engineering education and accreditation report, 1977. New York: The Council. Transcending the Theory-Practice Problem of Technology - Reich (1992) quote from article: For example, a paragraph in a recent engineers code of ethics, Engineers shall hold paramount the safety, health and welfare of the public in the performance of their ...

  8. Computational neuroscience - Wikipedia

    en.wikipedia.org/wiki/Computational_neuroscience

    The term 'computational neuroscience' was introduced by Eric L. Schwartz, who organized a conference, held in 1985 in Carmel, California, at the request of the Systems Development Foundation to provide a summary of the current status of a field which until that point was referred to by a variety of names, such as neural modeling, brain theory and neural networks.

  9. Radial basis function network - Wikipedia

    en.wikipedia.org/wiki/Radial_basis_function_network

    In the field of mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation functions.The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters.