Arab Leaders Approve Riyadh as Headquarters for Arab Cybersecurity Ministers Council

A general view of Riyadh, Saudi Arabia. (SPA)
A general view of Riyadh, Saudi Arabia. (SPA)
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Arab Leaders Approve Riyadh as Headquarters for Arab Cybersecurity Ministers Council

A general view of Riyadh, Saudi Arabia. (SPA)
A general view of Riyadh, Saudi Arabia. (SPA)

Arab leaders approved the basic system for the Council of Arab Cybersecurity Ministers during the 33rd Arab Summit being held in Manama, Bahrain. The Arab League welcomed Saudi Arabia's proposal to establish the ministerial council.
The basic system for the council includes that it will operate under the umbrella of the Arab League and will have its permanent headquarters in Riyadh, with a general secretariat and an executive office in the host country, SPA reported.
The council's responsibilities include setting general policies, developing strategies and priorities to enhance Arab collective efforts in cybersecurity, promoting cybersecurity initiatives and programs, and addressing all cybersecurity issues at security, economic, developmental, and legislative levels.
Saudi Minister of State, Member of the Cabinet, and Chairman of the Board of the National Cybersecurity Authority Dr. Musaed bin Mohammed Al-Aiban emphasized that the Kingdom’s proposal to establish the council comes amid the increasing cyber threats worldwide, as they now pose a danger to countries' stability and hinder their development plans.
He expressed deep gratitude to the Custodian of the Two Holy Mosques King Salman bin Abdulaziz Al Saud and Prince Mohammed bin Salman bin Abdulaziz Al-Saud, Crown Prince and Prime Minister of the Kingdom of Saudi Arabia, for their wise guidance, continuous support, and keenness to enhance joint Arab efforts, preserve Arab security, and ensure stability.
The council was established based on a proposal put forth by the Kingdom and received unanimous support from all Arab countries.
The council's objectives include developing and strengthening cooperation among Arab countries in all aspects related to cybersecurity, coordinating efforts, and exchanging knowledge, experiences, studies, and relevant experiments.
It also aims to work on protecting the interests of member states in international organizations related to cybersecurity through joint coordination, unify the Arab position regarding cybersecurity at international organizations and entities, and contribute to creating a safe and reliable Arab cyberspace that enables growth and prosperity for all member states.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.