AIMC Topic: Computing Methodologies

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The Quest for Cognition in Purposive Action: From Cybernetics to Quantum Computing.

Journal of integrative neuroscience Feb 16, 2023
Norbert Wiener and Nikolai Bernstein set the stage for a worldwide multidisciplinary attempt to understand how purposive action is integrated with cognition in a circular, bidirectional manner, both in life sciences and engineering. Such a 'workshop'...
Humans Artificial Intelligence Cognition Quantum Theory Cybernetics Computing Methodologies
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Citizen science frontiers: Efficiency, engagement, and serendipitous discovery with human-machine systems.

Proceedings of the National Academy of Sciences of the United States of America Feb 5, 2019
Citizen science has proved to be a unique and effective tool in helping science and society cope with the ever-growing data rates and volumes that characterize the modern research landscape. It also serves a critical role in engaging the public with ...
Humans Machine Learning Research Design Research Surveys and Questionnaires Efficiency Community Participation Comprehension Science Biological Science Disciplines Computing Methodologies Natural Science Disciplines
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Self-Organizing Map (SOM) and Support Vector Machine (SVM) Models for the Prediction of Human Epidermal Growth Factor Receptor (EGFR/ ErbB-1) Inhibitors.

Combinatorial chemistry & high throughput screening Jan 1, 2016
EGFR (ErbB-1/HER1) kinase plays an important role in cancer therapy. Two classification models were established to predict whether a compound is an inhibitor or a decoy of human EGFR (ErbR-1) by using Kohonen's self-organizing map (SOM) and support v...
Humans Software Support Vector Machine Molecular Structure ErbB Receptors Binding Sites Substrate Specificity Computing Methodologies
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Fully parallel write/read in resistive synaptic array for accelerating on-chip learning.

Nanotechnology Nov 13, 2015
A neuro-inspired computing paradigm beyond the von Neumann architecture is emerging and it generally takes advantage of massive parallelism and is aimed at complex tasks that involve intelligence and learning. The cross-point array architecture with ...
Neural Networks, Computer Learning Models, Theoretical Unsupervised Machine Learning Semiconductors Synapses Electric Impedance Pattern Recognition, Automated Computing Methodologies
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