Riyadh Municipality Integrates Robots, Smart Technologies into Stormwater Drainage Network Maintenance

The Saudi flag. Asharq Al-Awsat
The Saudi flag. Asharq Al-Awsat
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Riyadh Municipality Integrates Robots, Smart Technologies into Stormwater Drainage Network Maintenance

The Saudi flag. Asharq Al-Awsat
The Saudi flag. Asharq Al-Awsat

The Riyadh Municipality has announced the introduction of specialized robots and smart technologies into its regular operations for inspecting stormwater drainage networks and their components for proactive maintenance.

The robots can navigate through water and various surfaces, measure and analyze the networks, contributing to swift and effective decision-making.

The robots operate by capturing three-dimensional, 360-degree images of the networks and converting the results into data through artificial intelligence (AI). This maximizes the use of technology to expedite the municipality's tasks, ensure the readiness of stormwater drainage networks, and develop proactive maintenance plans.

The Riyadh Municipality continues to oversee regular, preventive, and scheduled maintenance of all components of the stormwater drainage networks in Riyadh. This aims to ensure the safety and readiness of the networks’ components and addresses network malfunctions and surrounding issues using modern technologies that help identify and resolve problems.

These efforts are part of the municipality's ongoing commitment to providing quality services to residents and maintaining public safety, aligning with its strategy to promote digital transformation and support urban growth.



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.