On the European University of Artificial Intelligence

  • azamat ABDOULLAEV profile
    azamat ABDOULLAEV
    24 October 2019 - updated 1 year ago
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To rich its high goals, securing its leadership in global AI race in building Trustworthy, Human-Centric General Artificial Intelligence, Europe needs the European University of Artificial Intelligence, with the network of branches in all the Member States, with national AI R&D&I Centers and smart city and green community laboratories as attached.

The European University of Artificial Intelligence is to support the advancement of scientific research, development, innovation, transfer, and use of Artificial Intelligence through the introduction of Bachelor's degree, MSc and Ph.D. programs.

It relates to 25 European countries who signed a Declaration of cooperation on Artificial Intelligence (AI):

Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, UK, Norway.

https://ec.europa.eu/digital-single-market/en/news/eu-member-states-sign-cooperate-artificial-intelligence

A European approach to Artificial Intelligence

The European Commission puts forward a European approach to Artificial Intelligence and Robotics. It deals with technological, ethical, legal and socio-economic aspects to boost EU's research and industrial capacity and to put AI at the service of European citizens and economy.

A European approach to Artificial Intelligence based on three pillars:

Being ahead of technological developments and encouraging uptake by the public and private sectors

Prepare for socio-economic changes brought about by AI

Ensure an appropriate ethical and legal framework.

To support the efforts of the Member States which are responsible for labour and education policies, the Commission will:

support business-education partnerships to attract and keep more AI talent in Europe;

set up dedicated training and retraining schemes for professionals;

foresee changes in the labour market and skills mismatch;

support digital skills and competences in science, technology, engineering, mathematics (STEM), entrepreneurship and creativity;

encourage Member States to modernise their education and training systems.

https://ec.europa.eu/digital-single-market/en/artificial-intelligence

To rich its high goals, securing its leadership in global AI race in building Trustworthy, Human-Centric General Artificial Intelligence, Europe needs the European University of Artificial Intelligence, cloud and compus-based, with the network of branches in all the Member States.

A Good Practice

There is a small good case of establishing of University of Artificial Intelligence in Abu Dhabi, where the world’s first “minister of AI” is followed by the world’s first “university of AI”.

The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, is a graduate-level, research-based academic institution that offers specialized degree programs for local and international students in the field of Artificial Intelligence.

MBZUAI aims to support the advancement of scientific research, development, transfer, and use of Artificial Intelligence through the introduction of MSc and Ph.D. programs that allow students to fulfill their intellectual potential in a state-of-the-art environment.

MBZUAI seeks to empower a new generation of AI leaders through exceptional education and a unique model of academia. 

The University offers graduate level students a range of postgraduate degrees, focusing on core components of the AI industry: 
Computer Vision, Machine Learning, and Natural Language Processing. 

The AI PhD Program details


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.

These algorithms are based on mathematical models learned automatically from data, thus allowing machines to intelligently interpret and analyze input data to derive useful knowledge and arrive at important conclusions. 
Machine learning is heavily used for enterprise applications (e.g., business intelligence and analytics), effective web search, robotics, smart cities and understanding of the human genome. https://mbzuai.ac.ae/

https://ec.europa.eu/futurium/en/european-ai-alliance/whos-who-todays-ai-world-if-google-worlds-largest-ai-company-what-eu-ai-and-how