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 "pulp nn accelerating quantized neural networks on parallel ultra low power risc v processors"):
  Abstract: We present PULP-NN, an optimized computing library for a parallel ultra-low-power tightly coupled cluster of RISC-V processors. The key innovation in PULP-NN is a set of kernels for quantized neura...

Includes members:
  Member "a 64 mw dnn based visual navigation engine for autonomous nano drones":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "learning depth via interaction")
  Member "memory driven mixed low precision quantization for enabling deep network inference on microcontrollers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "edge intelligence the confluence of edge computing and artificial intelligence")
  Member "xnor neural engine a hardware accelerator ip for 21 6 fj op binary neural network inference":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "synaptic metaplasticity in binarized neural networks")
  Member "haq hardware aware automated quantization with mixed precision":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "gan compression efficient architectures for interactive conditional gans")
  Member "neura ghe exploiting cpu fpga synergies for efficient and flexible cnn inference acceleration on zynq socs":
    also connected through other hyperedges:
      (none)
  Member "pact parameterized clipping activation for quantized neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "discrimination aware network pruning for deep model compression")
  Member "cmsis nn efficient neural network kernels for arm cortex m cpus":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "rnnpool efficient non linear pooling for ram constrained inference")
  Member "minimum energy quantized neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "compressing deep neural networks on fpgas to binary and ternary precision with hls4ml")

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.NE(Neural and Evolutionary Computing)