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Found 5 papers, 2 papers with code
Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences
The NCS optimization problem is to find an NCS that maximizes gene expression.
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications
In light of the increasing adoption of edge computing in areas such as intelligent furniture, robotics, and smart homes, this paper introduces HyperSNN, an innovative method for control tasks that uses spiking neural networks (SNNs) in combination with hyperdimensional computing.
Improve Long-term Memory Learning Through Rescaling the Error Temporally
To the best of our knowledge, this is the first work that quantitatively analyzes different errors' memory bias towards short-term memory in sequence modelling.
Efficient Hyperdimensional Computing
Hyperdimensional computing (HDC) is a method to perform classification that uses binary vectors with high dimensions and the majority rule.
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks
The maximum number of spikes in this time window is also the latency of the network in performing a single inference, as well as determines the overall energy efficiency of the model.
