Expanding and enhancing knowledge using Artificial Intelligence (AI) in the Asian agro-industrial sector

2022 ◽  
pp. 226-252
Author(s):  
Rindra Yusianto ◽  
Marimin Marimin ◽  
Suprihatin Suprihatin ◽  
Hartrisari Hardjomidjojo
Keyword(s):  
Artificial Intelligence ◽  
Industrial Sector

scholarly journals Artificial Intelligence and Antibiotic Discovery

Antibiotics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1376
Author(s):  
Liliana David ◽  
Anca Monica Brata ◽  
Cristina Mogosan ◽  
Cristina Pop ◽  
Zoltan Czako ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Research Process ◽  
Industrial Sector ◽  
Proper Action ◽  
Public Health Systems ◽  
Inappropriate Use ◽  
New Antibiotics ◽  
Health Institutions ◽  
New Perspective ◽  
Antibiotic Discovery

Over recent decades, a new antibiotic crisis has been unfolding due to a decreased research in this domain, a low return of investment for the companies that developed the drug, a lengthy and difficult research process, a low success rate for candidate molecules, an increased use of antibiotics in farms and an overall inappropriate use of antibiotics. This has led to a series of pathogens developing antibiotic resistance, which poses severe threats to public health systems while also driving up the costs of hospitalization and treatment. Moreover, without proper action and collaboration between academic and health institutions, a catastrophic trend might develop, with the possibility of returning to a pre-antibiotic era. Nevertheless, new emerging AI-based technologies have started to enter the field of antibiotic and drug development, offering a new perspective to an ever-growing problem. Cheaper and faster research can be achieved through algorithms that identify hit compounds, thereby further accelerating the development of new antibiotics, which represents a vital step in solving the current antibiotic crisis. The aim of this review is to provide an extended overview of the current artificial intelligence-based technologies that are used for antibiotic discovery, together with their technological and economic impact on the industrial sector.

scholarly journals Mākslīgais intelekts un nākotnes regulējuma dilemma

2021 ◽  
pp. 174-182
Author(s):  
Ritvars Purmalis ◽  
Keyword(s):  
Artificial Intelligence ◽  
European Union ◽  
Daily Life ◽  
Civil Liability ◽  
Industrial Sector ◽  
The European Union ◽  
Further Development ◽  
Insight Into ◽  
Artificial Intelligence Systems ◽  
Operational Capacity

Digital innovations such as artificial intelligence systems, although limited in their current operational capacity, can be considered to be part of our daily life. Various ways in which these systems are implemented into day-to-day aspects directly affect not only the further development of the industrial sector but the society as a whole. The purpose of this article is to provide a brief insight into the current situation and the various initiatives of the European Union institutions in relation to the methodology for the application of civil liability in the case of damage caused by artificial intelligence systems, as well as to assess the content of future regulatory framework that has been published by the European Parliament, with whom it is intended to establish a common methodology throughout the European Union for the application of civil liability regime, if the damage is caused by artificial intelligence systems.

Digitalization and Automation in Agriculture Industry

2021 ◽  
pp. 205-216
Author(s):  
Geetha Prahalathan ◽  
Senthil Kumar Babu ◽  
Praveena H. D.
Keyword(s):  
Artificial Intelligence ◽  
Substantial Reduction ◽  
Industrial Sector ◽  
Clean Water ◽  
Technological Revolution ◽  
Cloud Data ◽  
Agriculture Industry ◽  
Agriculture Products ◽  
Global Population

The industrial production has experienced a technological revolution in the recent past decades. The technological revolution influenced the agriculture industry too. The important areas in the change are not limited to innovation in farming, novel production of agriculture-based tools and equipment, transportation and consumption of food across the globe, marketing the agriculture products, and digitalization. Digitalization is the involvement of digital technology in the existing field for easing the mechanism of handling, processing, recording the data. Digitalization enables sustainable farming. It is required desperately to develop this technology because there is a substantial reduction of clean water and depletion of aquifers effects the cultivation. With the technology, the quantity and quality of the food has to be managed to feed the global population. The familiar digitization technology that makes the agri-industrial sector to experience growth are artificial intelligence, machine learning, sensor networks, internet of things, robotics, cloud data.

scholarly journals Repercusión de la inteligencia artificial en el ámbito de la gestión del talento humano en las organizaciones

2021 ◽  
Vol 5 (3) ◽  
pp. 62-77
Author(s):  
María Luisa Villasano Jain ◽  
Héctor Cuellar Hernández ◽  
Rosa Alejandra Reyes Rizo ◽  
Helga Elena Roesner García
Keyword(s):  
Artificial Intelligence ◽  
Experimental Investigation ◽  
Quantitative Method ◽  
Industrial Sector ◽  
Commercial Activities ◽  
Industrial Organizations ◽  
El Alto ◽  
Human Reality ◽  
A Company ◽  
Sistemas De Informacion

El presente estudio se realizó en una empresa de giro industrial en el municipio de Atotonilco El Alto, Jalisco y tiene como objetivo analizar los efectos laborales en el recurso humano, por el uso de la inteligencia artificial (IA) (robótica y los sistemas de información) en una organización de giro industrial. Se fundamenta en el método cuantitativo, se aspira exponer la situación a partir de la medición y cuantificación de las realidades humanas; es una investigación no experimental. Los instrumentos que se utilizaron para la recolección de datos fueron cuestionario y entrevista, en donde se profundizó en las técnicas de IA. Una de las principales conclusiones a las que se llega es que la incorporación de la IA en la organización desencadena en los colaboradores cierto nivel de estrés por temor al remplazo. AbstractThis research was performed in a company which commercial activities are carried out in the industrial sector in the municipality of Atotonilco El Alto Jalisco and aims to analyze the effects artificial intelligence (AI) (robotic and systems information) has in workforce collaborators in industrial organizations. Based on a quantitative method, this research aspires to set forth the situation through the measurement and quantification of human reality; this is a non-experimental investigation. The instrument used for data recollection consisted of a questionnaire developed with AI techniques. One of the main conclusions reached was, when AI was incorporated in an organization, stress due to the fear of being replaced was triggered.

scholarly journals Survey on artificial intelligence algorithms used in industrial robotics

2020 ◽  
Vol 10 (4) ◽  
pp. 194-205
Author(s):  
Rabab Benotsmane ◽  
László Dudás ◽  
György Kovács
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industrial Sector ◽  
Machine Learning Algorithms ◽  
Industrial Robots ◽  
New Paradigm ◽  
Robotic Arms ◽  
Industrial Robotics ◽  
Main Target ◽  
Learning Capabilities

Nowadays, in the age of Industry 4.0 the Artificial Intelligence (AI) and Machine Learning capabilities have important role in the implementation of this new paradigm in the industrial sector. Especially in industrial robotics technology where the main target is improving the productivity, which requires the improvement on the rigid, inflexible capabilities of industrial robots. This article presents an overview of AI algorithms used in industrial robotics. In the first part of the article an overview about the Machine Learning algorithms used for industrial robots will be discussed. In the second part of the study we will introduce the most important AI algorithms used to optimize and improve the trajectory of robotic arms.

scholarly journals The Emergence of Artificial Intelligence for Industrial Internet of Thing Engagement

2021 ◽  
Vol 10 (2) ◽  
pp. 532-- 542
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Science Fiction ◽  
Industry 4.0 ◽  
Industrial Sector ◽  
Cyberphysical Systems ◽  
Productivity Cost ◽  
Industrial Internet ◽  
Industrial Operations ◽  
Using Data

New IT technologies will help enterprises across all industries to master future challenges. As AI emerges from science fiction to become the frontier of world changing technologies, there is an urgent need for systematic development and implementation of AI to see its real impact in the next generation of industrial systems, namely Industry 4.0. Today, the term “industrial automation” is generally referred to in the context of Industry 4.0 and the Industrial Internet of Things the two most recent technological revolutions in the industrial sector. The core principles of Industry 4.0 focus on increasing productivity, cost efficiency, quality, and safety by utilizing innovative technologies enabled by the IIoT, such as cyberphysical systems, cloud computing, big data, artificial intelligence and machine learning. When implementing this technology by using data centric digital business model. Internet of Things & Artificial Intelligence are poised to transform industrial operations.

scholarly journals Fuzzy Logic and Their application in Different Areas of Engineering Science and Research : A Survey

2021 ◽  
pp. 71-75
Author(s):  
Amit Kumar Gupta
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Fuzzy Logic ◽  
Mechanical Engineering ◽  
Industrial Sector ◽  
Reliability Theory ◽  
Industrial Engineering ◽  
Engineering Science ◽  
Computer Engineering ◽  
Science And Research

This Paper give introduction to Fuzzy Logic and Various application in different branch of Engineering and Research. Fuzzy Logic is Applied branch of Mathematics in which Lots of research is taking place. Fuzzy Logic works on "if.....then.....".Fuzzy Logic gives the idea that members are not restricted to T or F definition. The concept of Fuzzy Logic is used in the various fields as Artificial Intelligence, Aerospace, Automotive Business, Defence, Electronics, Finance, Industrial Sector, Marine Sector, Manufacturing, Medical, Securities, Transportation Pattern Recognition and Classification, Psychology, etc. The whole field of Engineering as civil Engineering, Mechanical Engineering, Industrial Engineering real Reliability theory, Robotics, Computer Engineering is broad to be covered here in a comprehensive way.

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