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Found 7 papers, 1 papers with code
Simulation Intelligence: Towards a New Generation of Scientific Methods
We present the "Nine Motifs of Simulation Intelligence", a roadmap for the development and integration of the essential algorithms necessary for a merger of scientific computing, scientific simulation, and artificial intelligence.
Learning to Remember, Forget and Ignore using Attention Control in Memory
Typical neural networks with external memory do not effectively separate capacity for episodic and working memory as is required for reasoning in humans.
Surprisal-Driven Zoneout
We propose a novel method of regularization for recurrent neural networks called suprisal-driven zoneout.
Utilization of Deep Reinforcement Learning for saccadic-based object visual search
The paper focuses on the problem of learning saccades enabling visual object search.
Recurrent Memory Array Structures
The following report introduces ideas augmenting standard Long Short Term Memory (LSTM) architecture with multiple memory cells per hidden unit in order to improve its generalization capabilities.
Towards Machine Intelligence
There exists a theory of a single general-purpose learning algorithm which could explain the principles of its operation.
Thinking Required
There exists a theory of a single general-purpose learning algorithm which could explain the principles its operation.
