human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "cortical processing with thermodynamic ram"
  Abstract: A thermodynamic RAM apparatus includes a physical substrate of addressable adaptive synapses that are temporarily partitioned to emulate adaptive neurons of arbitrary sizes, wherein the physical substrate mates electronically with a digital computing platform for high-throughput and low-power neuromorphic adaptive learning applications. The physical substrate addressable adaptive synapses can be configured as a part of a memristor-based physical neural processing unit.

Connected through hyperedge HE-1 (induced by source paper "bittensor an intermodel intelligence measure"):
  with members:
    - "learning home crowdsourced training of large neural networks using decentralized mixture of experts"
    - "smooth markets a basic mechanism for organizing gradient based learners"
    - "on the measure of intelligence"
    - "distilbert a distilled version of bert smaller faster cheaper and lighter"
    - "cross lingual language model pretraining"
    - "glue a multi task benchmark and analysis platform for natural language understanding"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "outrageously large neural networks the sparsely gated mixture of experts layer"

Connected through hyperedge HE-2 (induced by source paper "machine learning with memristors via thermodynamic ram"):
  with members:
    - "thermodynamic ram technology stack"

Connected through hyperedge HE-3 (induced by source paper "the generalized metastable switch memristor model"):
  with members:
    - "thermodynamic ram technology stack"

Question: Please tell me which class the center node 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)