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04/27/2023
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs more resilient to hacking, more human-like and easily implements relational reasoning
Despite the huge recent breakthroughs in neural networks (NNs) for artif...
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04/15/2023
Icospherical Chemical Objects (ICOs) allow for chemical data augmentation and maintain rotational, translation and permutation invariance
Dataset augmentation is a common way to deal with small datasets; Chemis...
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04/15/2023
Shape is (almost) all!: Persistent homology features (PHFs) are an information rich input for efficient molecular machine learning
3-D shape is important to chemistry, but how important? Machine learning...
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10/19/2015
Single Memristor Logic Gates: From NOT to a Full Adder
Memristors have been suggested as a novel route to neuromorphic computin...
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05/17/2015
Evolving Spiking Networks with Variable Resistive Memories
Neuromorphic computing is a brainlike information processing paradigm th...
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02/17/2014
Is Spiking Logic the Route to Memristor-Based Computers?
Memristors have been suggested as a novel route to neuromorphic computin...
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02/17/2014
Connecting Spiking Neurons to a Spiking Memristor Network Changes the Memristor Dynamics
Memristors have been suggested as neuromorphic computing elements. Spike...
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02/17/2014
Does the D.C. Response of Memristors Allow Robotic Short-Term Memory and a Possible Route to Artificial Time Perception?
Time perception is essential for task switching, and in the mammalian br...
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02/04/2013
Comparison of Ant-Inspired Gatherer Allocation Approaches using Memristor-Based Environmental Models
Memristors are used to compare three gathering techniques in an already-...
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02/04/2013
Beyond Markov Chains, Towards Adaptive Memristor Network-based Music Generation
We undertook a study of the use of a memristor network for music generat...
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12/14/2012
