SDAIA, KAUST to Organize World AI Youth Competition in Jeddah

The Saudi Data and AI Authority (SDAIA) logo
The Saudi Data and AI Authority (SDAIA) logo
TT

SDAIA, KAUST to Organize World AI Youth Competition in Jeddah

The Saudi Data and AI Authority (SDAIA) logo
The Saudi Data and AI Authority (SDAIA) logo

The Saudi Data and AI Authority (SDAIA) and the King Abdullah University of Science and Technology (KAUST) will organize the World Artificial Intelligence Competition for Youth (WAICY) in Thuwal, Jeddah, on December 2-3.

The competition will be held simultaneously in 39 countries, with the participation of over 18,000 students from public schools, including the Kingdom.

The competition is taking place for the second consecutive year, featuring over 6,000 project submissions from participating students for remote and in-person discussions.

WAICY is one of the largest international competitions focusing on artificial intelligence (AI), generating interest from countries around the world. SDAIA has taken the lead in adopting this competition to equip the future generation with the skills to learn and apply AI technology for solving real-world problems.

The competition will be conducted through an integrated approach, where students will present their projects online, accompanied by explanatory videos. Selected projects will be assigned specific times and dates for presentation during the competition. The competition encompasses three tracks: AI Showcase, AI Generated Art, and AI LLM.

This competition contributes to achieving the highest levels of human development in the Kingdom by fostering human capital and sustainably enhancing the capabilities of both male and female youth in the field of modern technology.

Furthermore, the competition will prepare the youth in Saudi Arabia for success in advanced technological fields, positioning the Kingdom as a global hub for cutting-edge technologies and AI-related advancements.



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
TT

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.