Saudi Arabia Ranks First Globally by Winning Largest Number of Medals in WAICY

Saudi Arabia Ranks First Globally by Winning Largest Number of Medals in WAICY
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Saudi Arabia Ranks First Globally by Winning Largest Number of Medals in WAICY

Saudi Arabia Ranks First Globally by Winning Largest Number of Medals in WAICY

The Kingdom of Saudi Arabia was awarded the first position for winning the largest number of medals in the World Artificial Intelligence Competition for Youth (WAICY), in which 18,000 male and female students from 40 countries in the world participated, topping the United States, India, Greece, Canada, and Singapore.

In the global competition organized by the Saudi Data and Artificial Intelligence Authority (SDAIA) in cooperation with King Abdullah University of Science and Technology (KAUST), 18 Saudi projects won, including 11 got gold, silver, and bronze medals, and 7 other projects were in advanced positions out of 6,039 projects, while the United States won 10 medals, India and Greece won two medals for each country, and Canada and Singapore won one medal for each country, according to SPA.

The Kingdom was represented in the competition by general education students from the levels, primary, intermediate, and secondary schools from the schools of Misk, Dhahran, Madac, KAUST, Aramco, AlUla, and NEOM. They all competed in the three competition tracks: AI Showcase, AI-Generated Art, and AI Large language model.

In light of this Saudi excellence, SDAIA and KAUST received the Outstanding Organization Award at the global level for their efforts and commitment to developing artificial intelligence education.



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.