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SDAIA President Launches High-Capacity Technical Projects and Data Centers

The projects aim to increase the capacity and operational efficiency of data centers. (SPA)
The projects aim to increase the capacity and operational efficiency of data centers. (SPA)
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SDAIA President Launches High-Capacity Technical Projects and Data Centers

The projects aim to increase the capacity and operational efficiency of data centers. (SPA)
The projects aim to increase the capacity and operational efficiency of data centers. (SPA)

Saudi Data and AI Authority (SDAIA) President Dr. Abdullah Al-Ghamdi launched on Saturday several technical infrastructure expansion projects and data centers in Riyadh.

The projects, the first of their kind in Saudi Arabia, were launched at an event attended by Director of the National Information Center Dr. Essam bin Abdullah Al-Waqit, and other SDAIA leaders and officials.

The new data centers boast an electrical capacity of up to 65 kilowatts per cabin and feature highly efficient electrical and mechanical systems. The projects aim to increase the capacity and operational efficiency of data centers.

These initiatives are part of SDAIA’s strategy to develop sustainable data centers built according to the best global practices and standards set by the UPTIME Institute, the global authority on data center evaluation and classification.

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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
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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.