Ammar bin Humaid chaired an Executive Council meeting in Ajman, United Arab Emirates. During this meeting, the Ajman Artificial Intelligence Programme was officially launched. This initiative marks a new governmental focus on integrating AI technologies within the emirate. Why it matters: This program demonstrates Ajman's strategic commitment to advancing AI capabilities and integrating them into its public and private sectors, contributing to the broader UAE national AI agenda.
Ajman University in the UAE has launched a new PhD program in Artificial Intelligence. This program aims to equip students with advanced research skills and deep expertise across various AI domains. The curriculum is designed to prepare graduates for leadership roles in both academia and industry within the rapidly evolving field of AI. Why it matters: This initiative strengthens the UAE's capacity for high-level AI research and talent development, directly supporting the nation's strategic vision to become a global leader in artificial intelligence.
Ajman University has introduced a new PhD program in Artificial Intelligence. The program aims to equip students with advanced knowledge and skills in AI, preparing them for leadership roles in academia and industry. Faculty members associated with the program are ranked among the world's top 0.5% of scientists. Why it matters: This initiative highlights the growing focus on AI education and research within the UAE, contributing to the development of local expertise in this critical field.
Ajman University in the UAE has launched a new PhD program in Artificial Intelligence. The program aims to equip students with advanced knowledge and skills in AI. It will cover topics such as machine learning, deep learning, and natural language processing. Why it matters: This initiative reflects the UAE's ongoing investment in AI education and its commitment to developing local AI talent.
Laurent Najman presented the Power Watershed (PW) optimization framework for image and data processing. The PW framework enhances graph-based data processing algorithms like random walker and ratio-cut clustering, leading to faster solutions. It can be adapted for graph-based cost minimization methods and integrated with deep learning networks. Why it matters: This framework could enable more efficient and scalable image and data processing algorithms relevant to computer vision and related fields in the Middle East.