Madinah:The Sixth International Multi-Conference on Artificial Intelligence Technology (MCAIT 2026) continued for a second day at Taibah University, in collaboration with Universiti Kebangsaan Malaysia. The event showcased four keynote lectures, parallel research sessions in both in-person and virtual formats, and a workshop focusing on the latest advancements in artificial intelligence (AI), particularly in healthcare, the Arabic language, intelligent systems, and advanced technologies.
According to Saudi Press Agency, the keynote lectures of the conference delved into various aspects of AI, including its future role in understanding the Arabic language, the importance of international collaboration for the development of safe and fair AI models, the historical progression of AI and the distinctions between specialized and general AI, and the challenges involved in evaluating language models, especially in their ability to comprehend local dialects and social contexts.
The conference also featured a specialized workshop dedicated to developing natural language processing applications with Transformer models. Several applied research studies were presented during the sessions, highlighting innovations in healthcare such as a cardiac arrhythmia classification model with 98.32% accuracy, a framework for monitoring older adults' daily activities and indoor locations, and the use of deep learning to classify lung tissues and detect malaria early, achieving accuracy rates of 98.38% and 99.12% respectively.
In the realm of Arabic language research, one study focused on analyzing around 22,000 classified Arabic texts to identify linguistic indicators of depression, achieving 95.85% accuracy. Other research explored AI applications for assistive technologies aimed at aiding people with visual impairments by combining computer vision and language models.
Additionally, the conference addressed AI applications in fields such as search and rescue operations using drones, smart agriculture and water resource management, and digital network protection and malware detection. The studies presented discussed models and techniques to enhance irrigation efficiency and agricultural output, monitor cyber threats, and analyze digital behavior, showcasing the broad applicability of AI in solving practical challenges and developing technological solutions.
Source Saudi Press Agency