CascadiaPrime Cognition

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CascadiaPrime Cognition - Neuromorphic Computing

Neuromorphic computing is made possible by building "chips" that embody neural networks rather than simply emulating them with traditional Von Neumann chip architectures.

Neuromorphic chips will alter the economics of computing, the energy consumption of computing and the performance equations for computing.

It will find applications in cognitive computing, analog sensing, data conversion, analog and digital signal processing, programmable logic, and associative memory. Deep learning capabiities will be extended and driven closer the periphery of the internet in both mobile devices and the internet of things. Human machine interfaces will be deeply enhanced as neuromorphic computing is rolled out.

It is probable that neuromorphic chips and Von Neumann chips will work in tandem to use the strengths of each.

  Wikipedia - Neuromorphic Engineering
  Quanta Magazine: YT: Why Brain-like Computers Are Hard (December 21, 2023)
  Talk by Daniel Mitropolsky at MITCBMM "The Simplest Neural Model and a Hypothesis for Language" (December 19, 2023)
  The Conversation: A new supercomputer aims to closely mimic the human brain — it could help unlock the secrets of the mind and advance A (December 18, 2023)
  World first supercomputer capable of brain-scale simulation being built at Western Sydney University (December 13, 2023)
  TechXplore: New learning algorithm should significantly expand the possible applications of AI (July 17, 2020)
  Nature Communications: A solution to the learning dilemma for recurrent networks of spiking neurons (July 17, 2020)
  Real-time cortical simulation on neuromorphic hardware (December 23, 2019)
  IBM scientists emulate neurons with phase-change technology (August 3, 2016)
  The Institute of Neuromorphic Engineering (INE)
  The CapoCaccia Cognitive Neuromorphic Engineering Workshop Capo Caccia, Sardinia, Italy, (May 2014)
  Economist: Neuromorphic computing - The machine of a new soul
  Alex Nugent, Introduction to AHaH Computing (Neuromorphic) and self-organizing emergence (April 2015)
  Qualcomm s Zeroth program
  HRL - Center for Neural and Emergent Systems (CNES)
  HRL - Efficiency Improvement in HD Neuromorphic Video Object Recognition
  Harvard Intelligent Probabilistic Systems Group
  Harvard School of Engineering (SEAS)
  IBM: Cognitive Computing: The SyNAPSE Project - Overview Promo video
  IBM Research Website: Cognitive Computing
  Cognitive Computing Programming Paradigm: A Corelet Language for Composing Networks of Neurosynaptic Cores
  Dharmendra S Modha's Cognitive Computing Blog
  Telluride Neuromorphic Cognition Engineering Workshop 2015
  Philosophy and Theory of Artificial Intelligence - IBM Watson Roadmap Forward
  Philosophy and Theory of Artificial Intelligence - IBM Watson Roadmap Forward
   Professor Gimzewski from UCLA describes how to build a brain using atomic switch networks (January 2015)
  James K. Gimzewski "Building a Brain" (October 2014)
  Cognitive Computing Commercialization
  The Neural Simulation Technology (NEST) Initiative
  The Human Brain Project SP 9: Neuromorphic Computing Platform - Overview
  Karlheinz Meier on Neuromorphic Computing (EU Human Brain Project) (February 2014)
  EU Human Brain Project: Neuromorphic Computing Platform
  University of Heidelberg Neuromorphic Hardware
  Stanford Neurogrid - Neuromorphic Computing
  Neuromorphic computing: bringing brain to bear
  IARPA - Microns Project -
  Cortical Computing Circuits, Connectome & CAJAL3D
  OPEN-ACCES journal - Frontiers in NeuroScience - Neuromorphic Engineering