Webinar on

Artificial Intelligence

October 25, 2021

Artificial Intelligence-2021

Theme: A deep Dive into Emerging AI Techniques and Technologies

Artificial Intelligence 2021 is going to be conducted during October 25, 2021. Artificial Intelligence 2021 will focus on the theme “A Deep Dive into Emerging AI Techniques and Technologies”. Meetings International is a global leader in producing high quality conferences, meetings, workshops and symposia in all major fields of science, technology and medicine. Artificial Intelligence is a way of making a computer, a computer-controlled robot, or software think intelligently as humans think. Research associated with artificial intelligence is highly technical and specialized. The purpose of this conference is to promote research in the field of artificial intelligence & scientific exchange among AI researchers, practitioners, scientists, engineers in affiliated disciplines.

Session-1: Artificial Neural Network and Virtual Intelligence

An Artificial Neural Network (ANN) is brain inspired systems which are anticipated to replicate the process by which we humans learn. ANN has established themselves as an excellent device for determining patterns which are considered to be highly complex and numerous to be handled by a human programmer. ANN process informations via dynamic responses of an external input. The key part of this perspective is the novel structure of the information planning system. ANNs are made out of different center points, which emulate natural neurons of human personality. The neurons are related by associations and they coordinate with each other. The centers can take the entered data and perform essential undertakings on the data. The outcome of these exercises is passed to various neurons. The yield at each center point is called its institution or center point regard.

Artificial Intelligence Meetings | Artificial Neural Network Symposia | Artificial Neural Network Workshops | Artificial Neural Network Congress

Session-2: Machine Learning and Decision Management

Machine learning teaches computers to do what comes naturally to humans and animals which they learn from experience. Machine learning algorithms use computational methods to gain information directly from data without relying on a predetermined equation as a model. As the number of samples available for learning increases, the performance of the machine increases. Machine learning algorithms find natural patterns in data that generate insight and help you make better decisions and predictions. They are used on daily basis to make difficult decisions in medical diagnosis, stock trading, energy load forecasting, and more.

Intelligent machines are capable of introducing rules and logic to AI systems so one can use them for initial setup/training, on-going maintenance, and tuning. Decision management has already been incorporated into a variety of corporate applications to assist and execute automated decision, making your business as profitable as possible.

Machine Learning Meetings | Machine Learning Symposia | Machine Learning Workshops | Machine Learning Congress

Session-3: Robotics and Intelligent System

A robot is a multitasking controller intended to move materials, devices or specific gadgets through programming to perform variety of tasks. A robot is a system that contains sensors, control frameworks, control supplies and programming all cooperating together to perform a task. Robots have supplanted humans in performing dreary assignments and perilous errands which people lean toward not to do or can't do. Robotic processes automation user scripts and methods that mimic and automate human tasks to support corporate processes. It is particularly useful for situations when hiring humans for a specific job or task is too expensive or inefficient.

Robotics Meetings | Robotics Symposia | Robotics Workshops | Robotics Congress | Smart Robotics Conference

Session-4: Big Data Analysis and Data Mining

Big data is a term used to refer to data sets that are too large or complex for traditional data-processing application software to adequately deal with. Data in many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.

Data Mining is a process commonly used for converting raw data into some useful information. It is also known as Knowledge Discovery in Data. Data Mining focuses on large data sets & database. Data Mining is widely used in business, science research, security, etc.

Data Mining Meetings | Data Mining Symposia | Data Mining Workshops | Data Mining Congress

Session-5: Cyber Defence and Cyber Security

Cyber defence is a computer network defence mechanism that focuses on preventing, detecting and providing timely responses to attacks or threats to infrastructure and information. The field is growing in importance due to increasing reliance on computer systems, the internet and wireless networks such as bluetooth and wi-fi, and due to the growth of "smart" devices, including smartphones, televisions and the various tiny devices that constitute the internet of things. Due to its complexity, both in terms of politics and technology, it is also one of the major challenges of the contemporary world.

Artificial Intelligence Meetings | Artificial Neural Network Symposia | Artificial Neural Network Workshops

  • Artificial Neural Network and Virtual Intelligence
  • Machine Learning and Decision Management
  • Robotics and Intelligent System
  • Big Data Analysis and Data Mining
  • Cyber Defence and Cyber Security

2 Renowned Speakers

MOHAMMAD ZARE

Snr Scientist
Luxembourg

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