human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "memristors for the curious outsiders"):
  Abstract: We present both an overview and a perspective of recent experimental advances and proposed new approaches to performing computation using memristors. A memristor is a 2-terminal passive component with a dynamic resistance depending on an internal parameter. We provide an brief historical introduction, as well as an overview over the physical mechanism that lead to memristive behavior. This review is meant to guide nonpractitioners in the field of memristive circuits and their connection to machine learning and neural computation.

Includes members:
  Member "a neuromorphic systems approach to in memory computing with non ideal memristive devices from mitigation to exploitation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a neuromorphic boost to rnns using low pass filters")
  Member "hierarchical temporal memory using memristor networks a survey":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "neuromemristive circuits for edge computing a review")
  Member "thermodynamic ram technology stack":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "machine learning with memristors via thermodynamic ram")
  Member "perspective memcomputing leveraging memory and physics to compute efficiently":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "p bits for probabilistic spin logic")
  Member "the case for rejecting the memristor as a fundamental circuit element":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "recent advances in physical reservoir computing a review")
  Member "vertex coloring of graphs via phase dynamics of coupled oscillatory networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "memristive oscillatory circuits for resolution of np complete logic puzzles sudoku case")
  Member "polynomial time solution of prime factorization and np complete problems with digital memcomputing machines":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "p bits for probabilistic spin logic")
  Member "temporal correlation detection using computational phase change memory":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "mixed precision deep learning based on computational memory")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.ET(Emerging Technologies)