KAUST Hosts Annual International Conference on Smart Mobility

The conference is attended by a distinguished group of academics and others
The conference is attended by a distinguished group of academics and others
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KAUST Hosts Annual International Conference on Smart Mobility

The conference is attended by a distinguished group of academics and others
The conference is attended by a distinguished group of academics and others

The King Abdullah University of Science and Technology (KAUST) is hosting the International Conference on Smart Mobility - IEEE (SM'23) from March 19 to 21 on the university campus.

The conference is attended by a distinguished group of academics, technologists, equipment manufacturers, transportation service providers, and city planners to discuss topics related to smart transportation systems and services.

The Institute of Electrical and Electronics Engineers (IEEE) is organizing the conference in partnership with the Ministry of Transport and Logistics Services, the Ministry of Hajj and Umrah, the Communications, Space and Technology Commission, the Transport General Authority, and the Royal Commission for the Holy City of Makkah and the Holy Sites.

The conference's objective is to share the most recent research, development, and publication findings of smart mobility systems and services, as well as to discuss their possible applications and challenging difficulties.

KAUST President Professor Tony Chan stated that "smart mobility" has become a field for innovative science and research applications, particularly since most cities worldwide are searching for sustainable solutions to mobility issues.

The conference is an excellent opportunity to bring together academics, government officials, the business sector, and startups to unify efforts and develop solutions, he said.



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.