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Found 6 papers, 0 papers with code
Learning over time using a neuromorphic adaptive control algorithm for robotic arms
In this paper, we explore the ability of a robot arm to learn the underlying operation space defined by the positions (x, y, z) that the arm's end-effector can reach, including disturbances, by deploying and thoroughly evaluating a Spiking Neural Network SNN-based adaptive control algorithm.
Neuromorphic Visual Odometry with Resonator Networks
The VO network we propose generates and stores a working memory of the presented visual environment.
Neuromorphic Visual Scene Understanding with Resonator Networks
Understanding a visual scene by inferring identities and poses of its individual objects is still and open problem.
Tuning Algorithms and Generators for Efficient Edge Inference
A surge in artificial intelligence and autonomous technologies have increased the demand toward enhanced edge-processing capabilities.
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression
Deep neural networks (DNNs) have become the state-of-the-art technique for machine learning tasks in various applications.
Structured Deep Neural Network Pruning via Matrix Pivoting
Deep Neural Networks (DNNs) are the key to the state-of-the-art machine vision, sensor fusion and audio/video signal processing.
