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  2. Center for Neurotechnology - Wikipedia

    en.wikipedia.org/wiki/Center_for_Neurotechnology

    High school students receive an introduction to neuroscience and neural engineering, neuroethics, scientific communication and the latest developments in brain-computer interfaces. The goal of YSP and YSP-REACH is to provide students with exposure to the field of neural engineering and provide basic preparation for college studies in STEM ...

  3. 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.

  4. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    A large collection of Question to SPARQL specially design for Open Domain Neural Question Answering over DBpedia Knowledgebase. This dataset contains a large collection of Open Neural SPARQL Templates and instances for training Neural SPARQL Machines; it was pre-processed by semi-automatic annotation tools as well as by three SPARQL experts ...

  5. 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).

  6. Neural engineering - Wikipedia

    en.wikipedia.org/wiki/Neural_engineering

    Neural engineering (also known as neuroengineering) is a discipline within biomedical engineering that uses engineering techniques to understand, repair, replace, or enhance neural systems. Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living constructs.

  7. Neural processing unit - Wikipedia

    en.wikipedia.org/wiki/Neural_processing_unit

    A neural processing unit (NPU), also known as AI accelerator or deep learning processor, is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.

  8. Index of mechanical engineering articles - Wikipedia

    en.wikipedia.org/wiki/Index_of_mechanical...

    Safety engineering – Screw theory – Seal – Semiconductor – Series and parallel circuits – Shear force diagrams – Shear pin – Shear strength – Shear stress – Simple machine – Simulation – Six-stroke engine – Slide rule – Society of Automotive Engineers – Solid mechanics – Solid modeling – Sprung mass – Statics – Steering – Steam Systems – Stress–strain ...

  9. Neural Engineering Object - Wikipedia

    en.wikipedia.org/wiki/Neural_Engineering_Object

    Neural Engineering Object (Nengo) is a graphical and scripting software for simulating large-scale neural systems. [1] As the neural network software Nengo is a tool for modelling neural networks with applications in cognitive science , psychology , artificial intelligence and neuroscience .