Brain-inspired Computing and Machine Learning (editorial)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00523724" target="_blank" >RIV/67985807:_____/20:00523724 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00521-020-04888-6" target="_blank" >http://dx.doi.org/10.1007/s00521-020-04888-6</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Brain-inspired Computing and Machine Learning (editorial)
Original language description
IN: Neural Computing & Applications. 2020, 32(11), 6641-6643. ISSN 0941-0643. doi: 10.1007/s00521-020-04888-6. ANNOTATION: Recent research in machine learning (ML) and neurophysiology has focused in the development of highly intelligent algorithms, utilizing information processing principles of the human brain. Deep learning is inspired by the architecture of the cerebral cortex and it has attracted the attention of many artificial intelligence (AI) scientists. It is the dominating AI approach in specific domains (e.g., image–voice classification, object detection) regardless of its requirements in high computational power and in high volume of data. This is the editorial of the “Brain Inspired Computing and Machine Learning” Special Issue (SI) of the Neural Computing and Applications Springer Journal. The response of the scientific community has been significant, as many original research papers have been submitted for consideration. Totally, 11 papers were accepted out of 20, after going through a peer-review process. All of them have significant elements of novelty and they are introducing interesting modeling approaches or algorithms, inspired by the biological processes of the human brain.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů