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Theme
"AI- The real race for Future"
- Artificial Intelligence 2019

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Session/Tracks

SESSION 1: ARTIFICIAL INTELLIGENCE

Artificial Intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks generally associated with intelligent beings. The term is often applied to the project of developing systems endowed the intellectual processes characteristic of humans, just like the flexibility to reason, discover meaning, generalize, or learn from previous experience. Since the development of the digital computer in the 1940s, it has been practically exhibited that computers can be programmed to carry out a very complex task.

Related Conferences: Artificial Intelligence Conferences | Robotics Conferences | Artificial Intelligence and Robotics Conferences | Artificial Intelligence Conferences in Europe | Artificial Intelligence Conferences in Germany | Robotics Conferences in Europe | Robotics Conferences in Germany | Artificial Intelligence and Robotics Conferences in Europe | Artificial Intelligence and Robotics Conferences in Germany | Robotic process automation Conferences

SESSION 2: BIG DATA

Big information could be a field that treats of the way to investigate, consistently extract data from, or otherwise traumatize information sets that area unit overlarge or advanced to be dealt with by traditional data-processing application software. Data with several cases (rows) provide bigger applied mathematics power, whereas information with higher complexions (more attributes or columns) might result in a better false discovery rate. Huge information challenges include capturing information, information storage, information analysis, search, sharing, transfer, visualization, querying, updating, data privacy and information supply. Big information was originally related to 3 key concepts: volumevariety, and speed. Different ideas later attributed with huge information area unit truthfulness.

Related Conferences: Big Data Conferences | Data Processing Conferences | Big Data Analytics Conferences | Big Data Conferences in Europe | Big Data Conferences in Germany | Data Processing Conferences in Europe | Data Processing Conferences in Germany | Big Data Analytics Conferences in Europe | Big Data Analytics Conferences in Germany 

SESSION 3: BIO-METRICS

Bio-metrics is that the technical term for body measurements and calculations. It refers to metrics related to human characteristics. Bio-metrics authentication (or realistic authentication) is employed in engineering as a type of identification and access management. It is conjointly accustomed determine people in teams that area unit below police work.

Bio-metric identifiers area unit the distinctive, measurable characteristics accustomed label and describe people. Bio-metric identifiers area unit usually categorized as physiological versus activity characteristics. Physiological characteristics unit related to the shape of the body. Examples embody, however aren't restricted to fingerprint, palm veins, face recognition, DNA, palm print, hand pure   mathematics, iris recognition, retina, and odor/scent. Behavioral characteristics area unit associated with the pattern of behavior of an individual, as well as however not restricted to writing rhythm, gait, and voice. Some researchers have coined the term Behaviometrics to clarify the latter class of natural science.

Related Conferences: Bio Metric Conferences | Engineering Conferences | Behaviometrics Conferences | Bio Metric Conferences in Europe | Bio Metric Conferences in Germany | Engineering Conferences in Europe | Engineering Conferences in Germany | Behaviometrics Conferences in Europe | Behaviometrics Conferences in Germany 

SESSION 4: CLOUD COMPUTING

Cloud computing makes ADPS resources, particularly storage and computing power, obtainable on demand while not direct active management by the user. The term is usually wont to describe information centers obtainable to several users over the net. Large clouds, predominant now-a-days, usually have functions distributed over multiple locations from central servers. If the affiliation to the user is comparatively shut, it's going to be selected a grip server.

Clouds may be limited to a single organization (enterprise clouds,) be available to many organizations (public cloud,) or a combination of both (hybrid cloud.) The largest public cloud is Amazon AWS. Cloud computing depends on sharing of resources to realize coherence and economies of scale.

Related Conferences: Cloud computing Conferences | Cloud computing Conferences in Europe | Cloud computing Conferences in Germany 

SESSION 5: CYBER SECURITY

Computer security, cyber security or data technology security (IT security) is that the protection of PC systems from stealing or harm to their hardware, software system or electronic knowledge, additionally as from disruption or misdirection of the services they supply.

The field is growing in importance because of increasing reliance on PC systems, the net and wireless networks like Bluetooth and Wi-Fi, and because of the expansion of "smart" devices, together with smartphones, televisions and also the numerous little devices that represent the net of things. Due to its quality, each in terms of politics and technology, it's additionally one in all the most important challenges of the times.

Related Conferences: Computer security Conferences | Cyber security Conferences | Data Technology security Conferences | IT security Conferences | Computer security Conferences in Europe | Computer security Conferences in Germany | Cyber security Conferences in Europe | Cyber security Conferences in Germany | Data Technology security Conferences in Europe | Data Technology security Conferences in Germany | IT security Conferences in Europe | IT security Conferences in Germany

SESSION 6: COMPUTER VISION

Computer vision is Associate in nursing knowledge domain scientific field that deals with however computers may be created to realize a high-level understanding from digital pictures or videos. From the angle of engineering, it seeks to alter tasks that the human sensory system will do.

Computer vision tasks embrace ways that for exploit, processing, analyzing and understanding digital footage, and extraction of high-dimensional data from the very important world therefore on supply numerical or symbolic information, e.g., in the forms of decisions. Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action. This image understanding may be seen because the disentangling of symbolic info from image knowledge victimization models made with the help of pure mathematics, physics, statistics, and learning theory.

Related Conferences: Computer vision Conferences | Computer vision Conferences in Europe | Computer vision Conferences in Germany 

SESSION 7: DATA SCIENCE

Data science could be a multi-disciplinary field that uses scientific ways, processes, algorithms, and systems to extract information and insights from information in varied forms, each structured and unstructured, similar to data mining.

Data science can be a "concept to unify statistics, info analysis, machine learning, and their connected methods" so as to "understand and analyze actual phenomena" with information It employs techniques and theories drawn from several fields inside the context of arithmetic, statistics, IP, and technology.

Related Conferences: Data Science Conferences | Data Mining Conferences | Data Science Conferences in Europe | Data Science Conferences in Germany | Data Mining Conferences in Europe | Data Mining Conferences in Germany 

SESSION 8: 3D PRINTING

3D printing is any of varied processes at intervals that material is joined or solid below Micro Computer management to form a three-dimensional object, with an artefact being further on (such as liquid molecules or powder grains being united together), usually layer by layer. In the Nineteen Nineties, 3D printing techniques were thought of appropriate just for the assembly of useful or enhance prototypes and a lot of acceptable term was fast prototyping. Today, the preciseness, repeatability and material vary has enlarged to the purpose that 3D printing is taken into account as industrial production technology, with the name of additive producing. 3D written objects will have a really advanced form or pure mathematics and square measure continually created ranging from a digital 3D model or a CAD file.

Related Conferences: 3D Printing Conferences | 3D Printing Conferences in Europe | 3D Printing Conferences in Germany 

SESSION 9: 5G TECHNOLOGY

5G (from "5th Generation") is that the latest generation of cellular mobile communications. It succeeds the 4G (LTE-A, WiMax), 3G (UMTS, LTE) and 2G (GSM) systems. 5G performance targets high rate, reduced latency, energy saving, value reduction, higher system capability, and big device property. The first section of 5G specifications in Release-15 is completed by April 2019 to accommodate the first business preparation. The second introduce Release-16 is due to be completed by April 2020 for submission to the International Telecommunication Union (ITU) as a candidate of IMT-2020 technology.

Related Conferences: 5G Technology Conferences | 5G Technology Conferences in Europe | 5G Technology Conferences in Germany 

SESSION 10: INTERNET OF THINGS

The Internet of things (IoT) refers to the concept of extending web property on the way aspect typical computing platforms like personal computers and mobile devices, and into any vary of historically "dumb" or non-internet-enabled physical devices and everyday objects. Embedded with physical science, net property and different sorts of hardware (such as sensors), these devices will communicate and act with others over the web, and that they are remotely monitored and controlled.

Related Conferences: Internet of Things Conferences | Internet of Things Conferences in Europe | Internet of Things Conferences in Germany 

SESSION 11: MACHINE LEARNING

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a set of Artificial Intelligence (AI). Machine learning algorithms build a mathematical model of sample knowledge, referred to as "training data", so as to form predictions or selections while not being expressly programmed to perform the task. Machine learning algorithms square measure utilized in a large style of applications, like email filtering, detection of network intruders, and laptop vision, wherever it's unworkable to develop AN algorithm of specific instructions for performing the task. Machine learning is closely associated with machine statistics, which focuses on creating predictions victimization computers. The study of mathematical improvement delivers strategies, theory and application domains to the sector of machine learning. Data mining could be a field of study inside machine learning, and focuses on exploitative knowledge analysis through unattended learning. In its application across business issues, machine learning is additionally observed as prognostication analytics.

Related Conferences: Machine learning Conferences | Machine learning Conferences in Europe | Machine learning Conferences in Germany 

SESSION 12: NEURAL NETWORKS

Artificial Neural Networks (ANN) or connection systems area unit are computing systems galvanized by the biological neural networks that represent animal brains. The neural network itself isn't Associate in nursing algorithmic program, however rather a framework for several completely different machine learning algorithms to figure along and method complicated knowledge inputs. Such systems "learn" to perform tasks by considering examples, typically while not being programmed with any task-specific rules.

Related Conferences: Neural Networks Conferences | Artificial Neural Networks Conferences | Neural Networks Conferences in Europe | Neural Networks Conferences in Germany | Neural Networks Conferences in Europe | Neural Networks Conferences in Germany | Artificial Neural Networks Conferences in Europe | Artificial Neural Networks Conferences in Germany

SESSION 13: PATTERN RECOGNITION

Pattern recognition is that the automatic recognition of patterns and regularities in information. Pattern recognition is closely associated with computing and machine learning, at the side of applications like data processing and data discovery in databases (KDD), and is commonly used interchangeably with these terms. However, this area unit distinguished: machine learning is one approach to Pattern Recognition, whereas different approaches embody apprehend (not learned) rules or heuristics; and pattern recognition is one approach to artificial intelligence, whereas different approaches embody symbolic computing. A modern definition of pattern recognition is: the sector of pattern recognition cares with the automated discovery of regularities in information through the employment of PC algorithms and with the employment of those regularities to require actions like classifying the information into totally different classes.

Related Conferences: Pattern recognition Conferences | Pattern recognition Conferences in Europe | Pattern recognition Conferences in Germany 

SESSION 14: ROBOTICS

Robotics is a knowledge domain branch of engineering and science that has applied science, Electronic Engineering, data engineering, technology, and others. Robotics deals with the look, construction, operation, and use of robots, additionally as PC systems for his or her management, sensory feedback, and knowledge process.

These technologies square measure accustomed develop machines which will substitute for humans and replicate human actions. Robots is employed in several things and for several functions, however these days several square measure employed in dangerous environments (including bomb detection and deactivation), producing processes, or where humans cannot survive (e.g. in space). Robots will fight any kind however some square measure created to fit humans in look. This is same to assist within the acceptance of a mechanism in sure replication behaviors sometimes performed by folks. Such robots conceive to replicate walking, lifting, speech, cognition, and primarily something a personality's will do. Many of today's robots square measure impressed naturally, conducive to the sector of bio-inspired Artificial Intelligence.

Related Conferences: Robotics Conferences | Artificial Intelligence and Robotics Conferences | Robotics Conferences in Europe | Robotics Conferences in Germany | Artificial Intelligence and Robotics Conferences in Europe | Artificial Intelligence and Robotics Conferences in Germany | Robotic process automation Conferences | Robotic process automation Conferences in Europe | Robotic process automation Conferences in Germany

Why to Join Artificial Intelligence 2019?

Why to Join Artificial Intelligence 2019?

Artificial Intelligence 2019 conference aims to brings together Experts, Leading Researchers, Scholars, Scientists, Professors from fields of Physics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science and other related areas to interact and exchange thoughts about the state of the art technologies related to Artificial Intelligence, Robotics & Internet-related things. The conference will also provide an insightful understanding of the issues arising out of the Artificial Intelligence, Automotion, Robotics and the future concern and remedies from that. Artificial Intelligence 2019 will provide an Opportunity to interact with Eminent Scientists, Researchers, Business Leaders, and Experts from all over the world. The little effort put by the AI 2019 will help in taking a giant step in the field of Artificial Intelligence, Robotics & Internet of Things.

Meet the Artificial Intelligence, Internet of Things & Robotics experts & Technocrats from 25+ countries around the globe.

It’s World-class platform to exhibit products, services, innovations & Ideas.

Special Workshop/ Symposium, B2B and also interactive sessions with Industry Sponsors and Exhibitors.

More than 30 presentations from both Industry and Academic.

One to one interaction with eminent scientists, Industry Leaders, Researchers

Well organizing program with 5+ hours of networking sessions

Interactive panel discussions and Q&A sessions

Lively Exhibition area filled with the leading industry solution providers

The topics to be covered in Artificial Intelligence 2019 Conference include, but are not limited to

  • ·        A Brief History of the Internet
  • ·        Artificial Intelligence, Industry & Intellectual Property
  • ·        Artificial Intelligence: Educating the Future
  • ·        Alan Turing and his test
  • ·        Aristotle and Syllogism
  • ·        Asimov and laws of Robotics
  • ·        Big Data Analysis
  • ·        Block chain
  • ·        Cabot’s
  • ·        Cyber Attack
  • ·        Cyborg Technology
  • ·        Data Mining & Data Journalism
  • ·        Disaster Management and Robots
  • ·        Dueling Network
  • ·        Ethics of Artificial Intelligence
  • ·        Evolutionary Computation
  • ·        Evolutionary Robotics
  • ·        Home Automation & Smart home
  • ·        How Robots changing our life
  • ·        Human and Robot are better when they team up
  • ·        Human-Robot Interaction
  • ·        Internet Censorship
  • ·        Internet: Making People and Cities Smart
  • ·        IoT and Globalisation
  • ·        Knowledge-Based Systems
  • ·        Landmarks in the Development of Robotics
  • ·        Medical Research and Robotics
  • ·        Military Robots
  • ·        Modern Artificial Intelligence & AI based Aviation System
  • ·        Nano robots
  • ·        Natural Language Processing
  • ·        Net Neutrality
  • ·        Quantum Computing
  • ·        Quest for Artificial Intelligence: Dreams and Dreamers
  • ·        Roboethics, Robotic Governance, Robot rights
  • ·        Robots and 3D Printing
  • ·        Robots in Industry
  • ·        Robots: Reaching Space
  • ·        Smart Agriculture
  • ·        Social Robot
  • ·        Solving the Climate Change
  • ·        The Economic Impact of Robotic Advances
  • ·        The Internet of Things and the Importance of Modelling and Simulation
  • ·        Time to Expand Our Definition of "Human Being"
  • ·        Will Robots Rule Finance?

·    

 

Market Analysis


According to the latest market research report "Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), End-User Industry, and Geography - Global Forecast to 2025", The artificial intelligence market is expected to grow from USD 21.46 Billion in 2018 to USD 190.61 Billion by 2025, at a CAGR of 36.62% between 2018 and 2025. Major drivers for the market are growing big data, the increasing adoption of cloud-based applications and services, and increasing demand for intelligent virtual assistants. The major restraint for the market is the limited number of AI technology experts.

Browse 68 tables and 52 figures spread through 222 pages and in-depth TOC on "Artificial Intelligence Market - Global Forecast to 2025"

https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-market-74851580.html

Early buyers will receive 10% customization on reports.

Artificial intelligence market for services to grow at highest CAGR during forecast period

The market for services is expected to grow at the highest CAGR between 2018 and 2025. The adoption of AI is rapidly increasing in various applications. As AI is a complex technology requiring the implementation of sophisticated algorithms, AI-based systems require deployment and integration, and support and maintenance services. Also, most companies that manufacture and develop AI-based systems and related software provide both online and offline support, depending on the application.

 Artificial intelligence market for manufacturing end-user industry to grow at highest CAGR during forecast period

 Of all the end-use industries, the market for manufacturing is expected to grow at the highest CAGR during the forecast period. Increasing data volume derived from the manufacturing value chain has led to the involvement of AI-enabled data analytics in the manufacturing sector. In addition, several industry initiatives, such as Industry 4.0, a connected manufacturing initiative by the Government of Germany, have proliferated the growth of AI-enabled devices in manufacturing.

 North America to hold largest market share, and market in APAC to witness highest growth

 North America is expected to hold the largest share of the artificial intelligence market between 2018 and 2025. North America, being technologically advanced, is a leader in the market. It is the early adopter of the latest technologies; moreover, awareness about the benefits of artificial intelligence is high in the region. In addition, the presence of prominent AI technology providers, such as IBM (US), Google (US), Microsoft (US), NVIDIA (US), Intel (US), Facebook (US), Meta Mind (US), Tute Genomics (US), and AWS (US), is complementing the growth of the market in this region.

 The artificial intelligence market in APAC is expected to grow at the highest CAGR during the forecast period. The increasing adoption of deep learning and NLP technologies in finance, agriculture, marketing, and law applications is driving the market in APAC.

AI Societies:
Argentine Society for  Informatics and Operations Research (SADIO) Grupo de Interés en Inteligencia  Artificial (Argentina), Pacific Rim International Conferences on Artificial Intelligence (Australia), Österreichische Gesellschaft für AI (Austria), Sociedad Chilena de Ciencia de la Computación (Chile), Ceská spolecnost pro kybernetiku a informatiku (Czech Republic), Danish Artificial Intelligence Society (Denmark), Sociedad Dominicana de Inteligencia Artificial (Dominican Republic), The European Coordinating Commitee on AI (ECCAI) (Europe), Finnish Artificial Intelligence Society FAIS (Finland), Association Française pour l'Intelligence Artificielle (France), Fachbereich Künstliche Intelligenz der Gesellschaft für Informatik (Germany), Hellenic Artificial Intelligence Society (Greece), Neumann János Számítógéptudományi Társaság (Hungary), Special Interest Group on Artificial Intelligence, Computer Society of India (India), Artificial Intelligence Association of Ireland (Ireland), Israeli Association for Artificial Intelligence (Israel), Associazione Italiana per l'Intelligenza Artificiale (Italy), Japanese Society for Artificial Intelligence (Japan), Latvijas Automatikas Nacionala Organizacija (Latvia), Lietuvos Kompiuterininku Sajunga (Lithuania), Sociedad Mexicana de Inteligencia Artificial (Mexico), Belgium-Netherlands-Luxembourg Association for Artificial Intelligence (Netherlands), Norwegian Artificial Intelligence Society (Norway), Associação Portuguesa para a Inteligência Artificial (Portugal), Romanian Association for Artificial Intelligence (Romania), Russian Association for Artificial Intelligence (Russia), Slovenská spolocnost pre kybernetiku a informatiku pri Slovenskej akadémii vied (Slovak Republic), Slovensko drustvo za umetno inteligenco (Slovenia), Associació Catalana d'Intelligència Artificial (Spain), Asociación Española para la Inteligencia Artificial (Spain), Swedish Artificial Intelligence Society (Sweden), Swiss Group for Artificial Intelligence and Cognitive Science (Switzerland), Taiwanese Association for AI (Taiwan), Association of Developers and Users of Intelligent Systems (Ukraine), The Society for the Study of Artificial Intelligence and Simulation of Behaviour (United Kingdom), British Computer Society, Specialist Group on Artificial Intelligence (United Kingdom), Association for the Advancement of Artificial Intelligence (United States), Association for Computing Machinery(ACM) (United States). Special Interest Group in Artificial Intelligence (ACM SIGART) (United States), Computing Research Association (United States), Florida Artificial Intelligence Research Society (United States), IEEE Computer Society (United States), The IEEE Computational Intelligence Society (United States), The International Neural Network Society (United States), Singularity Institute of Artificial Intelligence (United States), Sociedade Brasileira deComputação (Brazil), Bulgarian Artificial Intelligence Association ( Bulgaria), Canadian Artificial Intelligence Association / Association pour l'intelligence artificielle au Canada (Canada),Chinese Association for Artificial Intelligence (China)




Organizing Committee
OCM Member
Boris Stilman
University of Colorado Denver, USA
STILMAN Advanced Strategies,
Denver, USA
OCM Member
Elsayed Ahmed Elnashar
Professor
Kaferelsheikh University
cairo, Egypt
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To Collaborate Scientific Professionals around the World

Conference Date November 18-19, 2019
Speaker Oppurtunity Day 1 Day 2
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