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The "5th International Conference on Artificial Intelligence, Robotics & IoT" will be held on December 04 - 06, 2023, in Dubai, UAE. We cordially invite all researchers and industry professionals from the artificial intelligence field throughout the world to participate.
The only venues for knowledge exchange and learning are conferences and gatherings. The conference aims to bring together researchers, research scholars, and academic leading scientists to exchange and share their experiences. You have more opportunities to advance your career by attending this conference, and we really value your attendance.
The theme of Artificial Intelligence 2023 is "Future World Advancements in Artificial Intelligence and Robotics & IoT," and oral presentations, keynote addresses, video presentations, and poster presentations are all included.
We are happy to unite a community of people committed to reshaping technology using the most cutting-edge robotics and artificial intelligence techniques.
Young researchers will have a forum at this worldwide conference to share their ideas and experiences to improve their quality of life. Let's discuss the understanding and practical applications of artificial technology for everyday inventions.
We are happy to welcome you all to join, register, and submit your abstracts as soon as possible for Artificial Intelligence 2023.
We look forward to meeting you!
Regards,
Organizing Committee
2023 - Artificial intelligence
Greetings from AI 2023!!
We welcome papers describing prototypes, systems, tools, and techniques additionally as general survey papers indicating future directions are encouraged. Outstanding keynote speakers and well-known leading scientists and experts from around the globe are expected to share their knowledge.
Artificial Intelligence 2023 provides a forum for the exchange of ideas and authoritative views by leading scientists additionally as business leaders and investors in this exciting field, and it's scheduled for December 4-6, 2023 in Dubai, UAE
With members from around the world specializing in learning about computer science technologies. This can be your opportunity to succeed in the biggest assemblage of participants from the community. The foremost recent techniques, World-renowned speakers, tactics, and the newest updates within the computing field are hallmarks of this conference. It's gathering young and innovative minds, practitioners, and experts to motivate and supply a replacement thanks to motivating and achieving.
Importance and Scope:
Due to incredible technological development, industries try to cut back manpower where they were trying to extend computer science and performance in various sectors. Now robotics is employed in each and each company where machines are involved and a few or other process is involved. Many fields like robotics, mechatronics, control systems, electronics, wireless, laser technology, and automotive motors are dependent only on these Artificial Intelligence and Automation functions
Session on: Artificial Intelligence
Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry. Artificial intelligence, also called machine intelligence, is intelligence demonstrated by machines. Some of the activities computers with artificial intelligence are designed for include: Speech recognition, Learning, Planning, and Problem-solving.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA2022, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: European Network of Excellence in Evolutionary Computing | European Coordinating Committee for AI | Austrian Society for Cybernetic Studies | ACIA - Catalan Association for Artificial Intelligence
Data science consists of pre-processing, analysis, visualization, and prediction of data. It relates to data mining and big data. It uses scientific methods and algorithms to extract knowledge from structured and unstructured data. it assists in finding abnormalities, predictions, and targets. It obtains raw data and processes through analytical, programming, and business skills.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: AUAI | The International Federation of Robotic | The Australian Robotics and Automation Association Inc. | Austrian Society for Cybernetic Studies | ACIA - Catalan Association for Artificial Intelligence
Big data deals with a massive amount of data that are analyzed by machines to facilitate future predictions and AI requires this large data to learn. It is associated with three concepts: volume, variety, and velocity. This act of accessing and storing massive data has been around for a long time for analytics.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: AFIA - French Association for Artificial Intelligence | AISB | AUAI | American Association for Artificial Intelligence | Association for computing Machinery | Association for Computational Linguistics
Session on: Machine learning
Machine learning deals with artificial intelligence that helps the systems to learn automatically from the experiences without being pre-programmed. Machine learning works on the development of computer programs that access data and use it. the intelligent systems organized on machine learning have the capability to learn from historical data.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: BISC | British Computer Society Specialist Group on Knowledge-Based Systems and Applied AI | Canadian Society for Computational Studies of Intelligence | DAMA International | Danish society
Session on: Robotics
The Robotics field involves both science and engineering that deals with the design and construction of mechanical robots. It is one branch of artificial intelligence and basically a design, operation, construction, and use of robots as well as computer systems for their control and information processing. This field uses new kinds of sensors and connected devices to monitor aspects like temperature, pressure, light, motion, and more.
Research associations and societies: European Network of Excellence in Evolutionary Computing | European Coordinating Committee for AI | ESSCS | EUSFLAT | Finnish Artificial Intelligence Society | The International Association for Pattern Recognition
Session on: Deep learning
Deep learning works like artificial intelligence which shows the workings of the human brain for use in decision making. It has evolved with the digital era and brought an explosion of data from every region of the world. It is the science of training large artificial neural networks. Deep neural networks (DNNs) can have hundreds of millions of parameters allowing them to model complex functions such as non-linear dynamics.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Argentine Society for Informatics and Operations Research (SADIO) Group de Inters Intelligence Artificial | Pacific Rim International Conferences on Artificial Intelligence | Bulgarian Artificial Intelligence Association
Session on: Reinforcement learning
Reinforcement learning has software agents which take action in an environment to maximize cumulative rewards. It comes under the area of machine learning and it is one of the three basic machine learning paradigms along with supervised and unsupervised learning. It differs from supervised learning in the way that the training data has the answer key with it whereas in reinforcement learning, there is no answer but the reinforcement agent decides what to do to perform the given task.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Chinese Association for Artificial Intelligence | The European Coordinating Committee on AI (ECCAI) | Finnish Artificial Intelligence Society FAIS | Hellenic Artificial Intelligence Society
Session on: Natural language processing
Computer science, information technology, and artificial intelligence contribute to natural language processing. It deals with the interaction between human languages and computers. Speech recognition, natural language understanding, and generation are the challenges in natural language processing. The steps which are used in natural language processing include Lexical Analysis, Syntactic Analysis, Semantic Analysis, Discourse Integration, Pragmatic Analysis, etc. This topic will help participants to understand how Artificial Intelligence and Natural language processing can be utilized to perform useful tasks using various human languages.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Artificial Intelligence Association of Ireland | Israeli Association for Artificial Intelligence | Japanese Society for Artificial Intelligence | Societal Mexicana de Intelligence Artificial
Session on: Computer vision
Computer vision is a scientific field that assists computers to acquire a high-level understanding of videos and digital images. It automates the tasks that the human visual system can do. It includes acquiring, analyzing, processing, and understanding high-dimensional data to produce a symbolic representation of data. As a scientific discipline, it is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Belgium-Netherlands-Luxembourg Association for Artificial Intelligence | Norwegian Artificial Intelligence Society | Romanian Association for Artificial Intelligence | Russian Association for Artificial Intelligence
Session on: Recommender systems
The recommender system assists the user in predicting the future preference from a set of items. In this modern society, the need for this system is high due to the more options available to people on the internet. It uses both collaborative filtering and content-based filtering. the difference between the two can be demonstrated by comparing these two – Last.FM and Pandora Radio.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Swedish Artificial Intelligence Society | Swiss Group Artificial Intelligence and Cognitive Science| Taiwanese Association for AI | Association of developers and Users of Intelligent Systems | The Society for the Study of Artificial Intelligence and Simulation of Behaviour
Session on: Internet of things
The IoT consists of computer devices, digital machines, objects, and people that are given unique identifiers. It has the ability to transfer data without human-to-human interaction or human-to-computer interaction over a network. The Internet of things (IoT) refers to the networked interconnection of objects equipped with ubiquitous intelligence, or simply “smart objects”. Several endeavors have been made in the last decade to bring together standard modeling languages with generic simulation frameworks.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: British Computer Society, Specialist Group on Artificial Intelligence | Association for the Advancement of Artificial Intelligence | Association for Computing Machinery (ACM) | Association for Computing Machinery Special Interest Group in Artificial Intelligence (ACMSIGART)
Session on: Quantum computing
Quantum computing is a Mechanical phenomenon such as superposition and entanglement to perform computation. A quantum computer performs computations that can be done physically or theoretically. Analog and digital are the two main approaches to physically implementing a quantum computer. It could spur the development of breakthroughs in science, machine learning methods to diagnose illness sooner, and algorithms to quickly direct resources.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Computing Research Association | IEEE Computer Society | The IEEE Computational Intelligence Society | The International Neural Network Society | Florida Artificial Intelligence Research Society
Session on: Healthcare
Artificial intelligence seeks help from software and complex algorithms to emulate human cognition in complicated medical data analysis. AI application in healthcare aims to analyze the relationship between treatment techniques and patient outcomes. AI is as effective as humans in the treatment of various medical conditions.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Singularity Institute of Artificial Intelligence | The Benelux countries have a coordinating AI association (BNVKI) | Research, Development, and Innovation Council | Allen Institute for AI | Artificial General Intelligence Research Institute | Association for the Advancement of Artificial Intelligence
Session on: Autonomous vehicle
An autonomous vehicle is a Self-driving vehicle that uses a combination of sensors, radar, and cameras. It uses techniques of artificial intelligence to travel between destinations without a human operator. An autonomous robot is a robot that performs behaviors or tasks with a high degree of autonomy, which is particularly desirable in fields such as space lights, household maintenance (such as cleaning), waste-water treatment, and delivering goods and services. Some modern factory robotics is “autonomous" within the strict confines of their direct environment.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Australian Research Council Centre of Excellence for Robotic Vision | Centre for human-compatible Artificial Intelligence | Centre for security and Emerging Technology | European Association for Artificial Intelligence | European Laboratory for Learning and Intelligent Systems
Session on: Information technology
Information technology uses computers for storing, retrieving, and manipulating information. It is used in business operations and entertainment technologies. IT is considered a subset of reinforcement learning. AI has revolutionized the very essence of space. I can play a relatively important role in this domain.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Centre for security and Emerging Technology | European Association for Artificial Intelligence | European Laboratory for Learning and Intelligent Systems | European Neural Network Society | Centre for human-compatible Artificial Intelligence
Session on: Neural networks
A neural network is a network consisting of neurons. Artificial nodes or neurons combine to form an artificial neural network. This Neural network is either biological and made of natural neurons or artificial, to solve problems. It is already being used to trade the security markets and to analyze credit risks. Neural networks mimic to some extent the processing characteristics of the human brain.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Future of Life Institute | Innovation enter for Artificial Intelligence | Kestrel Institute | Knowledge Engineering and Machine Learning Group | Lifeboat Foundation | Machine Intelligence Research Institute
Session on: Statistical learning
Statistical learning is an important phenomenon for machine learning in statistical and functional analysis fields. Statistical learning theory is based on finding a predictive function for a problem. Its applications are in the fields of computer vision, speech recognition, and bioinformatics. It provides the theoretical basis for many machine learning algorithms.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Society for the study of Artificial Intelligence and the Simulation of Behaviour | Partnership on | Open AI | ACM Special Interest Group on Artificial Intelligence (SIGART) | Artificial Intelligence Applications Institute
Session on: AI Finance
Artificial intelligence can free up personnel, improve security measures and ensure that the business is moving in the right technology-advanced, innovative direction. According to Forbes, 70% of financial firms are using machine learning to predict cash flow events, adjust credit scores, and detect fraud.
Related conference: International Conference on Machine Learning (ICML), Vienna, Austria; 4th annual Deep Learning in Finance Summit, London, United Kingdom; Insurance AI and Innovative Tech USA, Chicago, USA; Deep Learning Summit, Toronto
Research associations and societies: Society for the study of Artificial Intelligence and the Simulation of Behaviour | Partnership on | Open AI | ACM Special Interest Group on Artificial Intelligence (SIGART) | Artificial Intelligence Applications Institute
Market Value of Artificial Intelligence and Robotics:
The global artificial intelligence market value is estimated to the outreach of $169,411.8 million in 2025, with market growth from $4,065.0 million in 2016, growing at a CAGR of 55.6% from 2018 to 2025. Artificial intelligence is regarded as the fastest-growing technology in recent years. Artificial Intelligence is associated with human intelligence with similar characteristics such as language comprehension, reasoning, learning, problem-solving, and others. Manufacturers in the market face enormous inherent intellectual challenges in developing and modifying such technology. Artificial Intelligence lies at the core of the next generation of software technologies in the market.
The Global Robotics Market size is expected to reach USD 74.1 Billion by 2026, growing from USD 27.73 Billion in 2020 and registering a CAGR of 17.45% during the period 2021-2026, using various robotic technologies involved in the use of lifestyle upgrades to curb In the form of cleaning and disinfection service robots and especially in pandemic preventive measures. Hygienic demands have opened this new space for service robots. Because of this, many manufacturers demanded more new disinfection robots in 2020. Companies that shop for food, as well as others, are facing increasing demand. Following this ever-increasing interest, 2021 is expected to see a worldwide increase in food and drug delivery robots. This demand will also drive demand for robots that support last-mile delivery.
Top Associations and societies:
Catalan Association for Artificial Intelligence, The Australian Robotics and Automation Association Inc, the Austrian Society for Cybernetic Studies, the French Association for Artificial Intelligence, the Canadian Society for Computational Studies of Intelligence, the Argentine Society for Informatics and Operations Research (SADIO) Group de Inters en Intelligence Artificial, Chinese Association for Artificial Intelligence, Japanese Society for Artificial Intelligence, Israeli Association for Artificial Intelligence, Belgium-Netherlands-Luxembourg Association for Artificial Intelligence, Norwegian Artificial Intelligence Society, Romanian Association for Artificial Intelligence, Russian Association for Artificial Intelligence, The Society for the Study of Artificial Intelligence and Simulation of Behaviour.
Major Research Labs:
Laboratory of Imaging, Vision and Artificial Intelligence (LIVIA), ElkanIO Research Labs, MIT Computer Science, and Artificial Intelligence Laboratory, Berkeley AI Research Lab, USC Information Sciences Institute, Microsoft Research Lab – AI, Stanford University Computer Science Robotics Laboratory, University of Rochester Vision and Robotics Lab, Georgia Tech Mobile Robot Lab, Cal Tech Robotics Lab, MIT Field, and Space Robotics Laboratory.
Focus Audience:
All accepted abstracts will be published in respective Allied Academies Journals.
Abstracts will be provided with Digital Object Identifier by
