Review for unconventional computing思维导图

这是一篇关于Review for unconventional computing的思维导图，主要介绍计算的不同子领域如何从计算的基本原理中汲取知识，信息安全、人工智能、云计算以及大数据是典型代表。

Unconventional Computing

• Stochastic Computing
  • Directed connection
    • Bayesian Inference
      • Casual relations (family tree...)
  • Bidirectional connection
    • Boltzmann Machine
      • Recognition tasks
        • Handwritten digits recognition
      • Factorization
        • Invertible logic (AND, invertible multiplier, invertible adder, machine learning circuit...)
    • Ising Model
      • Combinatorial Optimization
        • TSP
        • MAX-CUT
        • Boolean satisfiability problem
        • Knapsack problem
        • Graph coloring
        • ...
      • Quantum circuits emulated with p-bits
        • Transverse Ising Hamiltonian
  • Entropy source
    • TRNGs
    • Physically Unclonable Function (PUFs)
• Neuromorphic Computing
  • Neural Networks
    • Spiking NNs
    • Deep Learning NNs
    • Hopfield NNs
• Reservoir Computing
  • Temporal signals processing
    • Speech Recognition
      • Spoken digits recognition
      • Spoken American vowels recognition
    • Pattern Recognition
  • Probabilistic computing.
• Security and encryption Hardware
• Quantum computing-inspired
• Machine learning-inspired
• Could also solved by Chaotic Computing
  • Security applications
  • Combinatorial Optimization (Hopfield Network-based)
• Implementation of p-bit
  • Superparamagnetic MTJ-based
    • Neruons
  • Stochastic-MTJ-based
    • Neurons
    • Synapses
  • CMOS-based
    • PRNG+LUT+Comparator
    • Tohoku's work
• Could also be implemented with Self-organizing gates