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Found 4 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.
Efficient Hyperdimensional Computing
Hyperdimensional computing (HDC) is a method to perform classification that uses binary vectors with high dimensions and the majority rule.
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models
The resulting KGs as a symbolic interpretation of the source LMs also reveal new insights into the LMs' knowledge capacities.
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