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Theme: Innovations and Advancements in Automation and Artificial Intelligence

Artificial Intelligence 2020

Artificial Intelligence 2020

Theme: "Advancements and Innovations in Automation and Artificial Intelligence"

The Conference Series LLC Ltd organizes conferences around the world on all computer science subjects including Artificial intelligence and its related fields. Here we are happy to invite all Artificial intelligence / industrialists/ students to join our "International Conference on Automation and Artificial Intelligence" scheduled to be held in London, UK during May 21-22, 2020. The Artificial Intelligence 2020 is initiated by Editors of Journal of Information Technology & Software Engineering Open Access, Journal of Global Research in Computer Science: Open Access, and Journal of Computer Science & Systems Biology: Open Access.

Details of Artificial Intelligence 2020, London, UK

Conference Name	Place	Date
Artificial Intelligence 2020	London, UK	May 21-22,2020

Conference Series invites all the experts and researchers from the Automation and Artificial Intelligence sector all over the world to attend “International Conference on Automation and Artificial Intelligence (Artificial Intelligence 2020) which is going to be held on May 21-22, 2020 at London, UK. Artificial Intelligence 2020 conference includes Keynote presentations, Oral talks, Poster Presentations, Workshops, and Exhibitors.

Artificial Intelligence is a region of software engineering that emphasises the production of intelligent machines that work and respond like people. Artificial intelligence is expert in studying how human brain thinks, learn, decide, and work while trying to solve a problem, and then using the products of this study as a source of increasing smart software and systems. In the real life, the knowledge has some undesirable properties. In the modern world, Artificial Intelligence can be used in many ways to control robots, Sensors, actuators etc.,

An automation system is a system that controls and displays building organisation. These systems can be established in a few typical ways. In this segment, a general construction frame work for a structure with complex requirements due to the action such as a consulting room will be described. Actual scheme frequently have some of the features and components described here but not all of them. The automation level consists of all progressive controls that regulate the field level devices in actual time. Online transaction is broadly utilized nowadays. This is one of the best example of automation. In online shopping the imbursement and checkout are through online conversation system.

The most other engineering majors work with Artificial Intelligence, but the heart of Artificial Intelligence is Automation and Automation Engineering across all the disciples. Artificial Intelligence 2020 conference is also comprised of Best Post Awards, Best Oral Presentation Awards, Young Researchers Forums (YRF) and also Video Presentation by experts. We are glad to welcome you all to join and register for the “International Conference on Automation and Artificial Intelligence” which is going to be held during May21-22, 2020 London, UK.

1. Artificial Intelligence

Artificial Intelligence is a region of software engineering that emphasises the production of intelligent machines that work and respond like people. Artificial intelligence is expert in studying how human brain thinks, learn, decide, and work while trying to solve a problem, and then using the products of this study as a source of increasing smart software and systems. In the real life, the knowledge has some undesirable properties. AI is different from hardware-driven, robotic automation. Artificial Intelligence performs frequent, high-capacity, electronic tasks consistently and without exhaustion instead of automating manual tasks. In the modern world, Artificial Intelligence can be used in many ways to control robots, Sensors, actuators etc.,

Welcome to the European Association for Artificial Intelligence| Association for the Advancement of Artificial Intelligence| Special Interest Group in Artificial Intelligence (ACM SIGART)| Association for Computing Machinery (ACM)| Florida Artificial Intelligence Research Society| The International Neural Network Society |Singularity Institute of Artificial Intelligence| The IEEE Computational Intelligence Society| The Hellenic Artificial Intelligence Society (EETN)| Russian Association for Artificial Intelligence.

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5th International conference on Artificial Intelligence April 16-17, 2018 Las Vegas, Nevada, USA| International conference on Artificial Intelligence June 28-29, 2017 San Diego, California, USA| 3rd Internal conference on Artificial Intelligence and Robotics June 28-29, 2017 San Diego, California, USA| 6th Global Summit on Artificial Intelligence and Neural Networks October 15-16, 2018 Helsinki, Finland |4th Global Summit and Expo on Multimedia & Artificial Intelligence July 19-21, 2018 Rome, Italy.

2. Information and Communications Technology

Information and communications technology (ICT) is an extensional term for Information Technology (IT) that stresses the role of unified communications and the integration of telecommunications and computers, as well as necessary enterprise software, middleware, storage, and audio-visual systems, that enable users to access, store, transmit, and manipulate information.

The term ICT is also used to refer to the convergence of audio-visual and telephone networks with computer networks through a single cabling or link system. There are large economic incentives (huge cost savings due to the elimination of the telephone network) to merge the telephone network with the computer network system using a single unified system of cabling, signal distribution, and management.

ICT is an umbrella term that includes any communication device, encompassing radio, television, cell phones, computer and network hardware, satellite systems and so on, as well as the various services and appliance with them such as video conferencing and distance learning.

ICT is a broad subject and the concepts are evolving. It covers any product that will store, retrieve, manipulate, transmit, or receive information electronically in a digital form.

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3. Computer and Information science

Computer and Information science (CIS) is a field that emphasizes both computing and informatics, upholding the strong association between the fields of information sciences and computer sciences and treating computers as a tool rather than a field.

Information science is one with a long history, unlike the relatively very young field of computer science, and is primarily concerned with gathering, storing, disseminating, sharing and protecting any and all forms of information. It is a broad field, covering a myriad of different areas but is often referenced alongside computer science because of the incredibly useful nature of computers and computer programs in helping those studying and doing research in the field – particularly in helping to analyse data and in spotting patterns too broad for a human to intuitively perceive. While information science is sometimes confused with information theory, the two have vastly different subject matter. Information theory focuses on one particular mathematical concept of information while information science is focused on all aspects of the processes and techniques of information.

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4. Computing

Computing is any activity that uses computers to manage, process, and communicate information for various purposes. It includes development of both hardware and software. Computing is a critical, integral component of modern Industrial technology. Major computing disciplines include computer engineering, software engineering, computer science, Information systems, and Information technology.

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5. Automation

An automation system is a system that controls and displays building organisation. These systems can be established in a few typical ways. In this segment, a general construction frame work for a structure with complex requirements due to the action such as a consulting room will be described. Actual scheme frequently have some of the features and components described here but not all of them. The automation level consists of all progressive controls that regulate the field level devices in actual time. Online transaction is broadly utilized nowadays. This is one of the best example of automation. Still, two-third of music, books and all that are presently procured on the network. The part of online marketing bounding from 5.1% in 2011 to 8.3% in 2016. In online shopping the imbursement and checkout are through online conversation system.

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6. Algorithm

An Algorithm is a step by step method of solving a problem. It is commonly used for data processing, calculation and other related computer and mathematical operations. An Algorithm is also used to manipulate data in various ways, such as inserting a new data item, searching for a particular item or sorting an item. An Algorithm is a detailed series of instructions for carrying out an operation or solving a problem. In a non-technical approach, we use algorithms in everyday tasks, such as a recipe to bake a cake or a do-it-yourself handbook.

Technically, computers use algorithms to list the detailed instructions for carrying out an operation. For example, to compute an employee’s pay check, the computer uses an algorithm. To accomplish this task, appropriate data must be entered into the system. In terms of efficiency, various algorithms are able to accomplish operations or problem solving easily and quickly.

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7. Automation Tools and Its Applications

Automotive engineering plays a dynamic role in many industries and increases automation showing information. These technologies help many industries to release large quantity of properties and also make the works to be completed in very short time while comparing to usual manual works.

Generally, automation can play a crucial role in many applications, i.e., in banking, shopping, medical and engineering and army etc., nowadays traffic is a big problem to entire world. By improving the working performance of transportation system then increase flexibility and accessibility it delivers environmental benefits, and even increases efficiency and economic growth.

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8. Machine learning

Machine learning is a part of artificial intelligence based on the idea that systems can learn from data, make decisions and identify designs with insignificant human intervention. Machine learning is a method for making a personal computer, a PC controlled robot, or a product think smartly, and within the comparative way the perceptive people think. They are normally grouped by either learning style or by comparison in method or function. It simplifies the continuous advancement of scheming through introduction to new scenarios, testing and adaptation, while employing pattern and trend detection for improved decisions in succeeding situations. ML gives possible arrangements in every one of these areas, and is set to be a support of our future progress.

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9. Robotics

After several new achievements in medical robotic research, people have created to know the distinctive advantages of using robots for medical purposes. The main reasons that have drawn much attention to robotic systems results from their capability in carrying out a change of clinical and other medical tasks with high accuracy and repeatability, and their ability to provide physicians with improved visual feedback. Due to their capabilities and benefits in clinical areas, the research and deployment of robots for medical applications has increased. Today, medical robotic technology has improved, resulting in increase of medical robots on the market along with their applications in real clinical situations. In future, it is expected that robots will play very important roles in modern medical diagnosis, surgery, rehabilitation, and drug delivery.

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10. Human Robot Interaction

Human Robot interaction is the study of communications between humans and Robots. Human Robot interaction has been an emerging research topic in recent year because robots are playing important roles today, in automation medical care and entertainment.

The goal of human Robot interaction (HRI) research is to define a general human model that could lead to principles and algorithms allowing more natural and effective interaction between humans and robots. Related Information includes human beings, balances daily life, and is designed on the concept of Human Robot interaction.

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11. How Robots Changing Our Life

Nowadays we are existing in the smart machine era. Robots are playing wide and dynamic role in our daily life. It feels like science mechanism is come to be a reality. Robots are gradually coming closer to us as good technology existences to manage the functions of their home. As technology becomes a lot of advancing, it's clear that the world is changing and there's a good possibility that robots will be working in ordinary people's homes within the next decade or so. The main discussion of the session are how robots form into an important partner in our journey and the way they are helping to us to change our life.

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12. Robots in Industry

People have made believe about Industrial Robots starting from 1930. The first Manufacturing Robot was applied in 1954. Since, robots have granted some work in factories but also opened new job opportunities in other sectors. The Standard role of robots in industrial sector includes welding, painting, assembly, pick and place packaging, labelling, etc.

The session has been specially created for those who are part of different businesses and for students who are going to join those industries in the future. It will also be helpful to business groups to check out several latest technologies growing in these sectors.

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13. Industrial Robot Automation

During modern generation, majority of manufacturing activities in fabrication, forming, machining and assembly facilities will be a dangerous challenge. Industrial Robots have been use for about 50 years. Industrial Robots have come to play an extensive and crucial role in many industrial operations . Robots can be used in any situation and for any purpose, but today many are used in dangerous environments, manufacturing processes, or where humans cannot persist. Robots can take on any form but some are made to be like humans in appearance. This is said to help in the acceptance of a robot in certain replicative behaviours usually performed by people. Such robots attempt to repeat walking, lifting, speech, cognition, and basically anything a human can do. Many of today's robots are inspired by nature, contributing to the field of bio-inspired robotics.

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14. Cutting-Edge Artificial Intelligence

Cutting-edge Artificial intelligence is the ability of a computer-controlled machine to achieve tasks commonly associated with intelligent persons. Combination of various systems is necessary for a confident Artificial Intelligence. The supports of current Artificial Intelligence include computational intelligence, Neural Networks, Genetic Algorithms, and Fuzzy Logic. Cutting-edge Artificial Intelligence uses tools and data from the fields like computer science, psychology, philosophy, neuroscience, cognitive science, etymology, operations research, economics, control theory etc. Various facets of modern Artificial Intelligence and topic associated with it will be discussed in the session.

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15. Artificial Neural Networks

An Artificial Neural Network (ANN) is data organizing worldview that is forced by the way organic sensory systems. Artificial Neural Networks perform specific tasks like pattern recognition, clustering etc. on the computer. They are similar to the human brains, obtain knowledge through learning and their knowledge is stored within interneuron connection strengths. An Artificial Neural Network is designed for a particular application such as design acknowledgment or information arrangement, through a learning procedure. They are capable of processing and modelling nonlinear dependence between inputs and outputs in parallel. They are characterized by containing flexible weights along paths between neurons that can be tuned by a learning algorithm that learns from observed data in order to improve the model.

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16. Deep Learning

Deep Learning is a function of artificial intelligence that copies the workings of the human brain in processing data and creating designs for use in decision making. Deep learning is structured learning that is a section of the machine learning method based on learning data description. It uses some form of inclination extraction for training via back propagation. The layers used in deep learning incorporate hidden layers of Artificial Neural Networks and sets of propositional formulas.

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17. Big Data to AI

Big Data Analytics study large amount of data to remove hidden patterns, relationships, and other dreams. However, the advancement that big data analytics conveys to the industry includes efficiency and speed. AI and Big Data still do work well organised, as AI needs data to build its intelligence and Big Data can provide the data needed to preparing the learning algorithms, particularly machine learning. This session will help particularly organizations and industry people to gather knowledge on how to utilize their data and use it to commercial opportunities.

Big Data can support in reconstructing major business methods by a proper and accurate interpretation of available data. It has its applications in marketing, sales, product development, merchandising, etc.

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18. Role of AI in Industry

In this era, Artificial Intelligence will play a dynamic role in varying the technique we look into the world. Intelligent Automation & Artificial Intelligence can be used in various industries to improve productivity and effectiveness, reduce effective risks, and improve customer involvements. In Intelligence Automation, we use software or hardware which has the capability to achieve things automatically. This session helps to analyse the extensive integration of Automation and Artificial Intelligence and how it is helping the human lives.

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19. Enterprise Artificial Intelligence

Automation and AI is changing the business environment through industries, conveying new opportunities through automated, intelligent products. Many companies are in advance of the arc, and others are decaying in their acceptance of the technology. Artificial intelligence is effectively describing processes of intelligent automation, like machine learning, deep learning, cognitive computing and natural language processing (NLP). AI and automation and other developing technologies will allow businesses to increase productivity, changed costs by liberation up workers from more ordinary tasks, increase quickness and flexibility, and branch innovation.

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20. Artificial Intelligence in Block Chain Technology

Block chain and AI are two of the technologies are trending now and these two technologies are really different developing assemblies and applications, Integrating the two can lead to solutions for challenges that have been worrying crucial players for long periods of time. Block chain provides a way to exchange value embedded data without abrasion and AI enables putting data into action to create value without human efforts. AI can be used as the leading factor for maintaining immutability in a block chain network thereby making one in the entire world’s most secure ecosystem for transactions and data exchange.

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21. Ethics in AI

The ethics of artificial intelligence is the part of the ethics of technology precise to robots and other artificially intelligent existences present. The ability of the Autonomous Systems to make decisions for themselves, with little to no input from humans greatly increases the utility of robots and similar devices. However, due to this autonomous function, some experts and academics have questioned the use of AI in various jobs. This session aims to provide an agenda inside which researchers can expect the current and future ethical issues and which is concerned with the right and wrong regarded as ethical behaviour.

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22. Future Scope of AI

The future Artificial Intelligence (AI) has the possible to change the world. While from the time when the Turing Analysis was introduced, computers have become so smart. Artificial Intelligence is quick turning into a major economic energy. Definitely it will be an essential part of human life in future. However, an important question remains is that what will occur if the review of robust Artificial Intelligence be successful and an Artificial Intelligence system come to be better than humans. We have confidence in this session will help us to discuss, improve and avoid such possible outcomes in the future.

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23. Artificial Intelligence in Healthcare

Total overall spending on Artificial Intelligence (AI) will reach $40.6 billion by 2024. Recent years have recognised the innovative development brought by AI technologies. These changes can advance many practices and health is no protection. The amazing changes in healthcare also brought many research opportunities in huge range of application fields, such as Health, health data quality assessment, personalized health with sensor data, cross-source learning for better lifestyles and health data visualization. The part of AI advance in client benefit and the test postured by AI calculations which are set to change the financial managements division.

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24. Artificial intelligence for business

Overall expenditure on Artificial Intelligence will reach $40.6 billion by 2024. Artificial Intelligence is approximately turning into a basic portion of each business foundation, resolving on it crucial for organization leaders to see how this innovation can, and will, upset customary plans of action. The part of Artificial Intelligence in advancement consumer benefit and the test postured by AI calculations which are set to change the economic administrations division.

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25. Artificial Intelligence & Multimedia Technologies

Recent years have recommended the essential development brought by multimedia & AI technologies. These changes can advance many practices and industries, and health is no allowance. Multimedia plays a dynamic role in the smarter cities eco-system due to huge presence of multi model sensors and smart objects in the environment, increased multimedia collaboration among different organizations, and real-time media sharing between socially-connected people. Cloud computing Events fits well as an allowing technology in this scenario as it provides a flexible stack of computing, storage and software services at low cost. As a result, we are witnessing a standard shift toward multimedia cloud computing, where the computationally demanding components of multimedia systems, services and applications are moving onto the cloud, and the end user’s mobile device is being used as an interface for accessing those services.

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26. Quest for Artificial Intelligence: Dreams and Dreamers

The search for Artificial Intelligence (AI) begins with dreams – as all quests do. Human-like machines are described in many stories and are pictured in statuaries, images, and sketches. Starting from the time of earliest, Greek philosopher Aristotle people imagined of automation. This session of Artificial Intelligence is particularly meant for celebrating the vision of the dreamers which includes philosophers, Science Historian, writers, scientists, researchers etc.

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The Artificial Intelligence 2020 conference will be useful to participants both from the Academics and Industry working in all the domains of Automation and artificial Intelligence. The Artificial Intelligence 2020 is especially intended for Investors, Entrepreneur, Capitalists, Venture and other readers with a need to know where the Artificial Intelligence market is headed in the future. The members around the globe focused on learning about the Artificial Neural Networks and the developments in the most recent techniques also newest updates in this field.

Automation and Artificial Intelligence Associations and Societies
Artificial Intelligence and Automation Faculties
Directors of Artificial Intelligence Companies
Artificial Intelligence and Automation Engineering Students
Pharmaceutical Industry Mentors and Marketers
Artificial Intelligence and Automation Engineering Scientists
Directors of Automation Engineering companies
Artificial Intelligence Engineers
Artificial Intelligence and Automation Engineering Researchers
Exhibitors and Sponsors

Artificial Intelligence 2020 offers a great opportunity to make new contacts in the field of Artificial Intelligence and Automation Engineering which involves the designs and discoveries of new Technologies. The enlightenment originated when researchers began to use analytical thinking from Physics, Chemistry, and Engineering.

The conference will provide a platform to share new ideas relating to recent developments in Artificial Intelligence. Automation Engineering Scientists and researchers will come to know about more information regarding their research subjects and will be able to establish their view at a global level.

Targeted Audience:

Artificial technologists
Automation Engineers
Information Technology Engineers
Automation Researchers
Pharmacists
Artificial Neuro-Scientists
Automation Chemists
Academic Professors
Pharmaceutical Companies and Markets
Students from Artificial Intelligence, Robotics, and Automation Engineering.

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Artificial Intelligence is the machines which are designed and programmed in such a manner that they and think and act like a human. Artificial Intelligence becomes the important part of our daily life. Our life is changed by AI because this technology is used in a wide area of day to day services. These technologies reduce human effort. Now in many industries, people are using this technology to develop machine slaves to perform the different activity. Using the machine for the work speed up your process of doing work and give you an accurate result.

It is very likely that areas in which the universal intelligence of the human level is not needed will reach maturity and produce reliable high-quality products in the next decade. Efforts to improve quality and expand boundaries for text and video understanding systems, and to give home robots greater reliability and overall utility, will lead to systems of common sense linking learning and action together in all these modalities.

Especially given the massive growth of machine-readable data on human activities and the need for machines that understand human values â€‹â€‹if such machines are reliable and useful. Public and private sources of knowledge will become part of society.

If earlier AI developers were trying to create a machine that could perform tasks independently, at the moment the situation has changed and the goal that is put before artificial intelligence is to help a person in various matters. Thanks to the modern approach, artificial intelligence starts to simplify and improve various processes; another promising scope is the prediction and even some manipulation of human behaviour in advertising systems. You can expect an increase in the quality of the work of search engines and machine translation. This will be possible due to the fact that the computer will begin to understand and analyse the meaning of the text.

US Artificial Intelligence Market to Grow at a Staggering 75% CAGR until 2021: TechSci Research Report

Rising Venture Capital Investments Coupled With Increasing R&D Activities in Autonomous Vehicles Market to Drive Artificial Intelligence Market in US Through 2021

According to TechSci Research report, "United States Artificial Intelligence Market, By Application, By Region, By End User Competition Forecast & Opportunities, 2011-2021", the artificial intelligence market in the US is projected to grow at a CAGR of 75% during 2016 - 2021 on account of growing artificial intelligence technology adoption in consumer electronic devices, research and developmental activities in healthcare industry, unmanned aerial vehicles, autonomous cars, etc.

This research evaluates enterprise robotics in the United States including companies, technologies, and solutions across industry verticals and applications. The report includes forecasts by industry vertical/application for 2017 through 2021.

Leading industry verticals are beginning to see improved operational efficiency through the introduction of robotics and Artificial Intelligence (AI). Robotics investment in many industries represents a substantial capital expenditure with the potential to dramatically reduce operational expenses through resource optimization, quality improvement, and waste reduction.

Robotics in business will accelerate as less expensive hardware and improvements in AI lead to improved cost structures and increased integration with enterprise software systems respectively. The massive amount of data generated by robotics will create opportunities for data analytics and AI-enabled decision support systems. Emerging areas for enterprise robotics include Robotics as a Service, Cloud Robotics, and General Purpose Robotics.

Conference Highlights

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Conference Date	May 21-21, 2020
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