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Mari State University

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Artificial intelligence: a start to the IT future

16.11.2021 08:51:00

Mari State University together with the Ministry of Education of the Republic of Mari El is launching the educational project "Artificial Intelligence: Start into the IT-Future".

The popularity of AI in recent years is associated with the growth of digital information in the world. Every two years over the past three decades, the volume of data in the world has increased by a factor of about 10.

Artificial intelligence: a start to the IT future
Artificial intelligence: a start to the IT future

Some people think that artificial intelligence is the distant future, but we encounter it every day in our daily lives - it is voice recognition, and search engines in voice search, and product offerings, and chatbots in online customer support, and robot journalists, and robot writers in news portals, and the creation of the individual trajectory of the player, and 3D animation in video games and much more.

The training will cover such topics as:

- The fourth industrial revolution: what you need to know about it

What is Industry 4.0? 9 basic technologies: big data and analytics, Internet of Things, horizontal and vertical systems integration, autonomous robots, simulation, augmented reality, cybersecurity, cloud technology, additive manufacturing. New professions.

- Artificial intelligence by industry

History of artificial intelligence development. Possibilities of artificial intelligence. The principle of artificial intelligence. Artificial intelligence by industry. Problems of introducing artificial intelligence. Success stories related to the introduction of artificial intelligence.

- Neural network technologies in artificial intelligence systems

The concept of a neural network. The history of neural network development. How a neural network works. The process of neural network learning. The basics of machine learning. Best practices for using neural networks in professional activities.

- Representation of knowledge in intelligent systems: datasets.

Data and knowledge: basic definitions. The structure of an intelligent system. Model of knowledge representation in neural networks. What is a dataset and what does it consist of? What is a dataset: types of samples. Principles of preparing, selecting and describing datasets for neural networks.

- Artificial Intelligence tools

Engines. Programming languages. Collections of libraries. Data storage tools. Services. 10 Google Artificial Intelligence tools available to everyone.

- Writing a TOR for solving problems from the field of artificial intelligence

Standards and templates for ToR for software development. Sections of ToR: general information, description of the system and available data, requirements to the system under development, stages and terms of work, assessment and acceptance criteria for the systems.

Training period: from November 22 to December 13, 2021.

Students, school teachers and educators are welcome to attend.

Registration works by link or QR code until November 22, 2021.



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