Saudi Arabia, WEF Launch Innovation Accelerator, Explore Collaborations in Global Metaverse Village

The delegations at the signing ceremony in Davos (SPA)
The delegations at the signing ceremony in Davos (SPA)
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Saudi Arabia, WEF Launch Innovation Accelerator, Explore Collaborations in Global Metaverse Village

The delegations at the signing ceremony in Davos (SPA)
The delegations at the signing ceremony in Davos (SPA)

A high-level delegation from Saudi Arabia participated in a multilateral meeting with the World Economic Forum’s (WEF) leadership at WEF’s 2023 Annual Meeting in Davos.

Prince Faisal bin Farhan Al Saud, Minister of Foreign Affairs; Princess Reema bint Bandar Al Saud, Ambassador to the United States; Abdullah bin Amer Alswaha, Minister of Communications and Information Technology; Bandar bin Ibrahim Alkhorayef, Minister of Industry and Mineral Resources; and Faisal Fadhil Alibrahim, Minister of Economy and Planning, met with Klaus Schwab, Founder and Executive Chairman of WEF and Borge Brende, President of WEF, to explore areas of mutual interest. 

Alswaha, Chairman of the Board of King Abdulaziz City for Science and Technology (KACST) and Chairman of the Board of The Research, Development and Innovation Authority (RDIA), and Brende signed a Letter of Intent (LoI) to establish a new accelerator program to help ignite innovation in Saudi Arabia. 

Under the LoI, KACST will work alongside WEF to connect experts and knowledge partners from the public and private sectors to identify and unlock new promising markets as part of the ongoing work to transform Saudi economy. 

During the meeting, the delegates highlighted the Kingdom’s role as a Pioneering Partner in the Forum’s Global Collaboration Village, which will leverage the metaverse to serve the global community. 

Saudi Arabia intends to build a house in the village, opening a door to opportunities, investment, and collaboration between various national stakeholders and international entities. It will be used as a tool for attending events, interacting with people, sharing knowledge and making announcements. 

It was highlighted in the meeting that Saudi ARAMCO, as one of Saudi leading private sector entities, is the first company to build a house in the Global Collaboration Village. 

The meeting also covered investment in green technologies, as well as female and youth empowerment as a vital enabler in effective climate action. The meeting provided updates on the progress of projects launched at WEF’s 2022 Annual Meeting. 

In addition, delegates addressed the future of the mining industry in Saudi Arabia and its untapped opportunities, especially considering the increasing demand for minerals and the importance of leveraging the Fourth Industrial Revolution and green technologies. 



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.