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

• Published in: International journal of molecular sciences Vol. 17; no. 8; p. 1313
• Main Authors: Pastur-Romay, Lucas, Cedrón, Francisco, Pazos, Alejandro, Porto-Pazos, Ana
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 11.08.2016; MDPI
• Subjects: Algorithms; Analysis; Animals; Big Data; Bioinformatics; Computational Biology - methods; Humans; Neural networks; Neural Networks, Computer; Proteins; Quantitative Structure-Activity Relationship; Review; artificial neural networks; deep learning; genomic medicine; tripartite synapses; artificial neuron–astrocyte networks; drug design; Quantitative Structure–Activity Relationship; neuromorphic chips; big data; protein structure prediction

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...