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AI, big data, and robots for the evolution of biotechnology

Artificial intelligence (AI), big data, and ubiquitous robotic companions —the three most notable technologies of the 4th Industrial Revolution—are receiving renewed attention each day. Technologies that can be experienced in daily life, such as autonomous navigation, real-time translators, and voic...

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Detalles Bibliográficos
Autor principal: Kim, Haseong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944054/
https://www.ncbi.nlm.nih.gov/pubmed/31896244
http://dx.doi.org/10.5808/GI.2019.17.4.e44
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author Kim, Haseong
author_facet Kim, Haseong
author_sort Kim, Haseong
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description Artificial intelligence (AI), big data, and ubiquitous robotic companions —the three most notable technologies of the 4th Industrial Revolution—are receiving renewed attention each day. Technologies that can be experienced in daily life, such as autonomous navigation, real-time translators, and voice recognition services, are already being commercialized in the field of information technology. In the biosciences field in Korea, such technologies have become known to the local public with the introduction of the AI doctor Watson in large number of hospitals. Additionally, AlphaFold, a technology resembling the AI AlphaGo for the game Go, has surpassed the limit on protein folding predictions—the most challenging problems in the field of protein biology. This report discusses the significance of AI technology and big data on the bioscience field. The introduction of automated robots in this field is not just only for the purpose of convenience but a prerequisite for the real sense of AI and the consequent accumulation of basic scientific knowledge.
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spelling pubmed-69440542020-01-09 AI, big data, and robots for the evolution of biotechnology Kim, Haseong Genomics Inform Opinion Artificial intelligence (AI), big data, and ubiquitous robotic companions —the three most notable technologies of the 4th Industrial Revolution—are receiving renewed attention each day. Technologies that can be experienced in daily life, such as autonomous navigation, real-time translators, and voice recognition services, are already being commercialized in the field of information technology. In the biosciences field in Korea, such technologies have become known to the local public with the introduction of the AI doctor Watson in large number of hospitals. Additionally, AlphaFold, a technology resembling the AI AlphaGo for the game Go, has surpassed the limit on protein folding predictions—the most challenging problems in the field of protein biology. This report discusses the significance of AI technology and big data on the bioscience field. The introduction of automated robots in this field is not just only for the purpose of convenience but a prerequisite for the real sense of AI and the consequent accumulation of basic scientific knowledge. Korea Genome Organization 2019-11-13 /pmc/articles/PMC6944054/ /pubmed/31896244 http://dx.doi.org/10.5808/GI.2019.17.4.e44 Text en (c) 2019, Korea Genome Organization (CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Opinion
Kim, Haseong
AI, big data, and robots for the evolution of biotechnology
title AI, big data, and robots for the evolution of biotechnology
title_full AI, big data, and robots for the evolution of biotechnology
title_fullStr AI, big data, and robots for the evolution of biotechnology
title_full_unstemmed AI, big data, and robots for the evolution of biotechnology
title_short AI, big data, and robots for the evolution of biotechnology
title_sort ai, big data, and robots for the evolution of biotechnology
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944054/
https://www.ncbi.nlm.nih.gov/pubmed/31896244
http://dx.doi.org/10.5808/GI.2019.17.4.e44
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