Cargando…

The deep learning AI playbook: strategy for disruptive artificial intelligence

Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that...

Descripción completa

Detalles Bibliográficos
Autor principal: Perez, Carlos E
Lenguaje:eng
Publicado: CreateSpace 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2296581
_version_ 1780956803867082752
author Perez, Carlos E
author_facet Perez, Carlos E
author_sort Perez, Carlos E
collection CERN
description Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be "how to apply Deep Learning AI in a business context?" Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming.
id cern-2296581
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
publisher CreateSpace
record_format invenio
spelling cern-22965812021-04-21T18:58:52Zhttp://cds.cern.ch/record/2296581engPerez, Carlos EThe deep learning AI playbook: strategy for disruptive artificial intelligenceComputing and ComputersDeep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be "how to apply Deep Learning AI in a business context?" Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming.CreateSpaceoai:cds.cern.ch:22965812017
spellingShingle Computing and Computers
Perez, Carlos E
The deep learning AI playbook: strategy for disruptive artificial intelligence
title The deep learning AI playbook: strategy for disruptive artificial intelligence
title_full The deep learning AI playbook: strategy for disruptive artificial intelligence
title_fullStr The deep learning AI playbook: strategy for disruptive artificial intelligence
title_full_unstemmed The deep learning AI playbook: strategy for disruptive artificial intelligence
title_short The deep learning AI playbook: strategy for disruptive artificial intelligence
title_sort deep learning ai playbook: strategy for disruptive artificial intelligence
topic Computing and Computers
url http://cds.cern.ch/record/2296581
work_keys_str_mv AT perezcarlose thedeeplearningaiplaybookstrategyfordisruptiveartificialintelligence
AT perezcarlose deeplearningaiplaybookstrategyfordisruptiveartificialintelligence