Triple

Target class: differentiable memory system
Context triple: [Differentiable Neural Computers, instanceOf, differentiable memory system]

• A. associative memory model
  An associative memory model is a computational or theoretical framework that stores and retrieves information based on learned relationships or patterns between items, enabling recall of one item when presented with another related cue.
• B. content-addressable memory system chosen
  A content-addressable memory system is a storage architecture that retrieves data based on its content or pattern rather than its specific memory address.
• C. recurrent artificial neural network
  A recurrent artificial neural network is a type of neural network where connections form directed cycles, allowing information to persist over time and enabling the modeling of sequential or temporal data.
• D. scalable RL architecture
  A scalable RL architecture is a modular, distributed system design that efficiently trains and serves reinforcement learning agents across large state-action spaces, high data volumes, and many concurrent tasks or environments.
• E. mnemonist
  A mnemonist is a person with an extraordinary ability to remember and recall vast amounts of information, often using specialized mental techniques.
• F. None of above.