CST Issues Roadmap for Using 5.9 GHz Band for Vehicle-to-Everything (V2X) Technology

CST has issued a roadmap for using the 5.9 GHz Band for Vehicle-to-Everything (V2X) technology. SPA
CST has issued a roadmap for using the 5.9 GHz Band for Vehicle-to-Everything (V2X) technology. SPA
TT

CST Issues Roadmap for Using 5.9 GHz Band for Vehicle-to-Everything (V2X) Technology

CST has issued a roadmap for using the 5.9 GHz Band for Vehicle-to-Everything (V2X) technology. SPA
CST has issued a roadmap for using the 5.9 GHz Band for Vehicle-to-Everything (V2X) technology. SPA

Saudi Arabia’s Communication, Space and Technology Commission (CST) has issued a roadmap for using the 5.9 GHz Band for Vehicle-to-Everything (V2X) technology, which outlines CST's strategic approach in providing the frequency spectrum needed for this technology in the Kingdom.

The aim is to keep pace with the rapid advancements in the field of intelligent transportation systems, and to facilitate the future deployment of autonomous vehicles, thus improving the quality of life in the Kingdom by enhancing road safety and providing drivers with important data needed.

The roadmap includes a comprehensive analysis of V2X applications and types of communication, as well as key developments regarding these applications. It also features a review of regulatory practices in various countries and an analysis of public consultation feedback. CST is keen to enable the latest technologies for these systems, specifically Cellular V2X (C-V2X), for several critical reasons, including the advanced use-cases offered by the technology and its seamless integration in existing 4G and 5G networks, which can be leveraged for these systems.

This roadmap complements the implementation of the Spectrum Outlook for Commercial and Innovative Use for 2021–2023 and aligns with the National Spectrum Strategy 2025. It is part of the CST's endeavor to achieve a prosperous and secure future in collaboration with relevant stakeholders.



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.