Iran’s dramatic difference in theoretical and applied artificial intelligence

The press conference was held by a group of managers and activists in the field over the past year, with the participation of managers and activists in the field of artificial intelligence. In this program, Dr. Abdul Hassan Bahrami (Head of the Center for the Development of the Knowledge Economics Development Staffs), Dr. Emadeddin Fatemizadegan (Head of the Secretariat of Technology Development and Application of Artificial Intelligence), and Dr. Hossein Asadi (Representative of Sharif University of Technology and member of the National Artificial Intelligence Team) described the latest achievements, challenges and programs.

Gap between research and application

Dr. Fatemi Zadegan, referring to Iran’s scientific position in the world’s rankings of 1 to 2 in terms of producing theoretical knowledge of artificial intelligence, said:

“Despite the significant research achievements, we are still far from the desired position in the applicability sector, and our rank in different reports is estimated at between 1 and 2.”

He said the lack of sufficient processing infrastructure is one of the main obstacles, adding that existing hardware infrastructure, especially in the public sector and specific organizations, is not responsive to larger goals. According to him, the Cabinet and the formation of the Technology Development Staff and the use of artificial intelligence have been a turning point in this direction.

The headquarters follows the key axis, including Creating a powerful cloud infrastructure, launching data market, formulating relevant legal systems, training and maintaining human capital, developing language models, attracting investment and commercialization of artificial intelligence products He mentioned.

The national platform of artificial intelligence; Infrastructure for all

Dr. Hossein Asadi, a representative of Sharif University of Technology, said about the project of “National Artificial Intelligence” project:

“The target of the platform is to reduce the cost and time of developing artificial intelligence services for companies. The project consists of four main layers: physical and datacenial infrastructure, software infrastructure, specialized tools core, and specialized service studio. “

According to Asadi, the first phase of hardware with more than ۱ Petaflaps processing power And the network 1 GB / s Completed and the experimental services are now provided to several universities. Next week, services to selected companies will begin and the public trial version will be unveiled within the next two to three months.

Extensive collaboration with knowledge -based companies

Following the unveiling of the MVP platform in March, the Vice President of Scientific Call published a collaboration, which led to the participation of four knowledge -based companies in the development of various sectors. These companies operate in areas such as the development of specialized studios, platforms and business models.

Focusing on education and development of ecosystem

One of the main goals of the platform is to access artificial intelligence tools. Asadi said.

“We want even a first -year student or high school student, in a short course of training, with a few clicks of a simple artificial intelligence app.”

Next Public StudioSpecialized studios are also developing for various industries such as health, electricity and taxation. In addition to public tools, these studios provide developers with specific data and capabilities.

The path ahead

Referring to the technical challenges and the need for continuous testing and optimization, Asadi emphasized that the project, unlike the construction of a regular app, is to enter technology that many countries have not yet experienced. The team’s program is a gradual expansion of service from universities to limited companies and then public provision in the next three months.