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4th International Conference on Automation and Artificial Intelligence, will be organized around the theme “”
Automation 2023 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Automation 2023
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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.,
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.
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.
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.
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.
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.
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.
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. 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.
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.
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.
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.
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 is how robots form into an important partner in our journey and the way they are helping to us to change our life.
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.
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. 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.
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.
Artificial Intelligence (AI) companies continue to find ways of developing technology that will manage laborious tasks in different industries for better speed and accuracy. In the legal profession, AI has already found its way into supporting lawyers and clients alike. The growing interest in applying AI in law is said to be slowly transforming the profession and closing in on the work of paralegals, legal researchers, and litigators. In this discuss the different ways in which AI is currently applied in the legal profession and how technology providers are trying to streamline work processes. Because of the breadth of our research we encourage readers to feel free to skip ahead to the applications areas of greatest interest for them. We’ll conclude this article with some thoughts on AI’s promise and limitations across the legal industry. Current developments in AI in legal practice come in various applications.
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.
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.