Conference on Artificial Intelligence will be held during November18-19, 2021 at Paris, France on the theme Future of Communication in Today’s World. This Live Webinar will unite Computer Engineers, driving analysts, researchers and scientists in the area of interest from all over the world, which would provide a platform to discuss and exchange of ideas and exploration of future research avenues in various fields of Artificial Intelligence.
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Eminent Key Note Speaker Award:
Artificial Intelligence 2021 will confer the Model Key Note Speaker Award to the researchers who have spent a considerable time of their academic life towards the research related to conference topic. Key note speaker award is for the researchers/speakers who have done all the hard work behind the scene. It will be a small clap for their dedication and hard work.
Outstanding Speaker Award:
Artificial Intelligence 2021 will bestow model speaker award to those researchers who have made significant contribution towards the conference topic during their research period as well as presented the research topic in an impressive way in the oral presentation during the summit. It will be an apt appreciation from the Jury as well as from the delegates. The award they receive will motivate them to march forward with the research work.
Model Organizing Committee Member Award:
Artificial Intelligence 2021 will take this opportunity to facilitate eminent experts from this field with the model Organizing Committee Member award for their phenomenal contribution towards the society through their academic research. This will be a trivial but significant reorganization of their dedication and discipline.
Promising Young Researcher Award:
The motive of this Award during the Artificial Intelligence 2021 conference is to appreciate research work of the budding young researcher who is continuing their research work to create a better society. The award will provide them a tremendous amount of encouragement to keep moving forward.
Educative Poster Award:
The educative poster award for the Artificial Intelligence 2021 will be endorsement for those who wishes to display their research paper through a poster and will act as a guiding force those researchers. The award will be presented to the most informative and educative research poster.
Criteria:
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All presented abstracts will automatically be considered for the Award.
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All the presentation will be evaluated in the conference venue.
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All the awards will be selected by the judges of the award category.
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The winners will be formally announced during the closing ceremony.
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The winners of the Poster Award will receive award certificate.
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The awards will be assessed as far as plan and format, intelligence, argumentation and approach, familiarity with past work, engaging quality, message and primary concerns, parity of content visuals, and by and large impression.
Guidelines:
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All submissions must be in English.
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The topic must fit into scientific sessions of the conference.
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Each individual participant is allowed to submit maximum 2 papers.
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Abstract must be submitted online as per the given abstract template.
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Abstracts must be written in Times New Roman and font size will be 12.
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Abstract must contain title, name, affiliation, country, speaker’s biography, recent photograph, image and reference.
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Each poster should be approximately 1x1 M long. The title, contents and the author’s information should be clearly visible from a distance of 1-2 feet.
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Machine Learning: Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
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Deep Learning: Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabelled. Also known as deep neural learning or deep neural network.
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Robotics: Robotics is an interdisciplinary research area at the interface of computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design intelligent machines that can help and assist humans in their day-to-day lives and keep everyone safe.
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Internet of Things: The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. These devices range from ordinary household objects to sophisticated industrial tools.
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Computer Vision: Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do.
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Reinforcement Learning: Reinforcement learning is an area of Machine Learning. It is about taking suitable action to maximize reward in a particular situation. It is employed by various software and machines to find the best possible behaviour or path it should take in a specific situation. Reinforcement learning differs from the supervised learning in a way that in supervised learning the training data has the answer key with it so the model is trained with the correct answer itself whereas in reinforcement learning, there is no answer but the reinforcement agent decides what to do to perform the given task. In the absence of a training dataset, it is bound to learn from its experience.
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Natural Language Processing: Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyse large amounts of natural language data.
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Expert Systems: In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.
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Automation: An automation system is a system that controls and displays building organization. These systems can be established in a few typical ways. In this segment, a general construction framework for a structure with complex requirements due to the action such as a consulting room will be described. The actual schemes 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 examples 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 reimbursement and checkout are through the online conversation system.
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Neuromorphic Computing: Neuromorphic systems is the next generation of AI that attempts to imitate the operation and structure of biological sensing and information processing nervous systems. The structure of neuromorphic computers makes them much more efficient at training and running neural networks. They can run AI models at a faster speed than equivalent CPUs and GPUs while consuming less power. This is important since power consumption is already one of AI's essential challenges.
World Market Analysis: The artificial intelligence market was valued at USD 16.06 billion in 2017 and is expected to reach USD 190.61 billion by 2025, at a CAGR of 36.62% during the forecast period. The base year considered for the study is 2017, and the forecast period is between 2018 and 2025.
Artificial Intelligence Market Study Objectives:
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To define, describe, and forecast the overall artificial intelligence market segmented on the basis of offerings, technologies, end-user industries, and regions
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To forecast the market size, in terms of value, for segments with respect to 4 major regions North America, Europe, APAC, and RoW
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To provide detailed information regarding the major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the growth of the market
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To analyse the micro markets with respect to individual growth trends, prospects, and contributions to the overall market
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To analyse opportunities in the market for various stakeholders by identifying the high-growth segments of the market
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To analyse various strategic developments, such as joint ventures, mergers and acquisitions, product launches, and research and development (R&D), in market
Asian Market Analysis: Asia Pacific Artificial Intelligence Market by Offerings (Hardware, Software, Services) by System (Intelligence Systems, Decision Support Processing, Hybrid Systems, Fuzzy Systems) by Technology (Machine Learning, Robotics, Image Processing, Speech Recognition, Natural Language Processing, Cognitive Computing (Other Technology)) by Verticals (Technology & Telecommunications, Banking, Financial Service & Insurance, Retail, Media & Entertainment, Automotive & Transportation, Agriculture, Resources & Utilities, Manufacturing, Healthcare, Education, Other Verticals) by Geography.
American Market Analysis: North America Artificial Intelligence Market by Offerings (Hardware, Software, Services) by System (Intelligence Systems, Decision Support Processing, Hybrid Systems, Fuzzy Systems) by Technology (Machine Learning, Robotics, Image Processing, Speech Recognition, Natural Language Processing, Cognitive Computing (Other Technology)) by Verticals (Technology & Telecommunications, Banking, Financial Service & Insurance, Retail, Media & Entertainment, Automotive & Transportation, Agriculture, Resources & Utilities, Manufacturing, Healthcare, Education, Other Verticals) by Geography.
European Market Analysis: The European artificial intelligence market is estimated to grow at a CAGR of 43.2% from 2016 to 2022. The Europe artificial intelligence market is currently witnessing healthy growth as companies have started leveraging the benefits of such disruptive technologies for effective customer reach and positioning of their service solutions. Market growth is also supported by an expanding application base of artificial intelligence solutions across various industries
Top Universities of the World:
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University of Oxford– UK
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University of Cambridge-UK
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Massachusetts Institute of Technology-USA
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California Institute of Technology-USA
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Harvard University- USA
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University College London
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University of Chicago-US
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Swiss Federal Institute of Technology-Switzerland
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California Institute of Technology-US
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Stanford University-US
Top Universities of Asia:
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Seoul national University
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The Chinese University of Hong Kong
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KAIST- Korea Advanced Institute of Science & Technology
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The Hong Kong University of Science & Technology
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Fudan University
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Peking University
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Tsinghua University
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Nan Yang Technological University
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University of Hong Kong,
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National University of Singapore.
Top Universities of US:
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University of Pennsylvania
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Columbia University
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Yale University
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Cornell University
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Princeton University
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University of Chicago
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California University of Technology
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Harvard University
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Stanford University
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Massachusetts Institute of Technology.
Top Universities of Europe:
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University of Oxford
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University of Cambridge
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Imperial College
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ETH Zurich
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UCL
Artificial Intelligence Universal Societies:
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Argentina Society for Informatics & OperationsResearch
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Pacific Rim International Caoference on AI
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Bulgarian Artificial Intelligence Association
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Chinese Association for Artificail Intelligence
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Danish Artificial Intelligence Society
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Finish Artificial Intelligence Society
Issue with VISA!!
Are you planning to have a professional and delightful trip to Paris, France?
We believe you must be having a query regarding your VISA to Visit as a Speaker/Delegate, Tourist or Business Person to Paris, France. Artificial Intelligence 2021 Committee will be happy to help you in all regards to plan your trip to the most historic place Paris. Here is the simplest way to know the process for your Visa Approval. Kindly register for the conference at the earliest and drop us an email at artificialtheexpertsmeet@gmail.com Paris, France and avail the official invitation letter from us and attend this event ahead with a closer step for approval of your VISA.
Register/enrol here to get an official invitation letter: https://www.meetingsint.com/conferences/artificial-intelligence/registration
Processing time for VISA applications may vary depending on the office and the time of the year. Delegates/Attendees are encouraged to submit their visa applications well in advance of the date of the event at a VISA Application Centre or online E-applications, including all supporting documents.
Visa letters should only be issued to:
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People the committee knows
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Speakers/Presenters
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Committee members
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Attendees who have paid their registration fee in full or as decided by the committee members
Visa letters should state the following facts:
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Conference title, dates and location
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That the requester has paid the required registration fee in full
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Verify that the credit card clears before providing letter
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If they are either a committee member, speaker or presenter
To simplify the request process for the attendees and organizers you need to request for visa letters for the conference once you are done with registration. Official invitation letter along with payment receipt will be mailed to you within 24-48 hours of your confirmation.