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Artificial intelligence implementations on the blockchain. Use cases and future applications

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Autore
Sgantzos K., Grigg I.
Data
2019
Language
en
DOI
10.3390/fi11080170
Soggetto
Cellular automata
Cellular neural networks
Deep learning
Deep neural networks
Digital storage
Electronic trading
Internet of things
Quantum cryptography
Supply chains
Convolutional neural network
Decentralized governance
Identity
Intelligence augmentation
Personalized medicines
Blockchain
MDPI AG
Mostra tutti i dati dell'item
Abstract
An exemplary paradigm of how an AI can be a disruptive technological paragon via the utilization of blockchain comes straight from the world of deep learning. Data scientists have long struggled to maintain the quality of a dataset for machine learning by an AI entity. Datasets can be very expensive to purchase, as, depending on both the proper selection of the elements and the homogeneity of the data contained within, constructing and maintaining the integrity of a dataset is difficult. Blockchain as a highly secure storage medium presents a technological quantum leap in maintaining data integrity. Furthermore, blockchain's immutability constructs a fruitful environment for creating high quality, permanent and growing datasets for deep learning. The combination of AI and blockchain could impact fields like Internet of things (IoT), identity, financial markets, civil governance, smart cities, small communities, supply chains, personalized medicine and other fields, and thereby deliver benefits to many people. © 2019 by the authors.
URI
http://hdl.handle.net/11615/78910
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
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