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 ielligence. In this program, Dr. Abdul Hassan Bahrami (Head of the Ceer for the Developme of the Knowledge Economics Developme Staffs), Dr. Emadeddin Fatemizadegan (Head of the Secretariat of Technology Developme and Application of Artificial Ielligence), and Dr. Hossein Asadi (Represeative of Sharif University of Technology and member of the National Artificial Ielligence Team) described the latest achievemes, challenges and programs.
Gap between research and application
Dr. Fatemi Zadegan, referring to Iran’s scieific position in the world’s rankings of 1 to 2 in terms of producing theoretical knowledge of artificial ielligence, said:
“Despite the significa research achievemes, we are still far from the desired position in the applicability sector, and our rank in differe reports is estimated at between 1 and 2.”
He said the lack of sufficie 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 Developme Staff and the use of artificial ielligence have been a turning poi in this direction.
The headquarters follows the key axis, including Creating a powerful cloud infrastructure, launching data market, formulating releva legal systems, training and maiaining human capital, developing language models, attracting investme and commercialization of artificial ielligence products He meioned.
The national platform of artificial ielligence; Infrastructure for all
Dr. Hossein Asadi, a represeative of Sharif University of Technology, said about the project of “National Artificial Ielligence” project:
“The target of the platform is to reduce the cost and time of developing artificial ielligence 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 experimeal 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 mohs.
Extensive collaboration with knowledge -based companies
Following the unveiling of the MVP platform in March, the Vice Preside of Scieific Call published a collaboration, which led to the participation of four knowledge -based companies in the developme of various sectors. These companies operate in areas such as the developme of specialized studios, platforms and business models.
Focusing on education and developme of ecosystem
One of the main goals of the platform is to access artificial ielligence tools. Asadi said.
“We wa even a first -year stude or high school stude, in a short course of training, with a few clicks of a simple artificial ielligence 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 coinuous testing and optimization, Asadi emphasized that the project, unlike the construction of a regular app, is to eer technology that many couries 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 mohs.
