Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications

Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications

Over the past decade, Deep Artificial Neural Networks (DNNs) have become the state-of-the-art algorithms in Machine Learning (ML), speech recognition, computer vision, natural language processing and many other tasks. This was made possible by the advancement in Big Data, Deep Learning (DL) and dras...

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Bibliographic Details
Main Authors: Lucas Antón Pastur-Romay, Francisco Cedrón, Alejandro Pazos, Ana Belén Porto-Pazos
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:International Journal of Molecular Sciences
Subjects:
artificial neural networks
artificial neuron–astrocyte networks
tripartite synapses
deep learning
neuromorphic chips
big data
drug design
Quantitative Structure–Activity Relationship
genomic medicine
protein structure prediction
Online Access:http://www.mdpi.com/1422-0067/17/8/1313

Internet

http://www.mdpi.com/1422-0067/17/8/1313

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