UAE, Greece Sign Agreement to Advance Development of Digital Infrastructure

The agreement was signed by UAE Minister of Investment Mohamed Hassan Alsuwaidi and the Greek Minister of Digital Governance, Dimitris Papastergiou. WAM
The agreement was signed by UAE Minister of Investment Mohamed Hassan Alsuwaidi and the Greek Minister of Digital Governance, Dimitris Papastergiou. WAM
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UAE, Greece Sign Agreement to Advance Development of Digital Infrastructure

The agreement was signed by UAE Minister of Investment Mohamed Hassan Alsuwaidi and the Greek Minister of Digital Governance, Dimitris Papastergiou. WAM
The agreement was signed by UAE Minister of Investment Mohamed Hassan Alsuwaidi and the Greek Minister of Digital Governance, Dimitris Papastergiou. WAM

The Ministry of Investment of the UAE and the Greek Ministry of Digital Governance have signed a Memorandum of Understanding (MoU) to create a framework for investments in digital infrastructure with a focus on data center projects in Greece.

The agreement was signed by UAE Minister of Investment Mohamed Hassan Alsuwaidi and the Greek Minister of Digital Governance, Dimitris Papastergiou.

Data centers to be developed under this agreement can reach a total capacity of 500 megawatts.

The data center market in Greece has witnessed significant growth in recent years, largely driven by the country's Digital Transformation Strategy 2020-2025, which aims to facilitate the transformation of companies into digital enterprises and incorporate digital technologies across its economic sectors.

Projections indicate that Greece's data center market will reach $1.218 billion by 2028 from $735 million in 2022, growing at a compound annual growth rate of approximately 9 percent.

With 15 data centers, Greece is set to expand its data infrastructure with an additional 139 megawatts of power capacity from new data centers planned for development over the next five years. This positions the country to become the largest data hub in Southeast Europe and the second largest in the Mediterranean by 2028.

Greece benefits from a network of over ten submarine cables linking the country to crucial global markets, further reinforced by multiple inland internet exchange points, resulting in significantly enhanced connectivity, reliability and an increased appeal for businesses seeking efficient and dependable data exchange.

The MoU between the UAE and Greece focuses on forging effective collaboration by building relationships between public and private organizations. The agreement additionally proposes the implementation of incentives to support pertinent initiatives and aims to facilitate the exchange of knowledge.



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.