Saudi Arabia has launched its National Strategy for Data and AI (NSDAI), outlining the Kingdom's ambition to become a global leader in the field. The strategy focuses on creating a thriving data and AI ecosystem, developing local talent, and attracting foreign investment. It aims to drive economic diversification and improve the quality of life for citizens. Why it matters: The NSDAI signals a strong commitment from Saudi Arabia to become a major player in the global AI landscape, potentially influencing regional development and investment.
The Saudi Data and Artificial Intelligence Authority (SDAIA) was established in 2019 to drive the national AI strategy in Saudi Arabia. SDAIA's main entities include the National Data Management Office (NDMO), the National Center for AI (NCAI), and the National Information Center (NIC). SDAIA has launched initiatives like the Tuwaiq AI Challenge and the Global AI Summit. Why it matters: SDAIA is central to Saudi Arabia's Vision 2030 plan to diversify the economy and develop AI capabilities.
Pierre Baldi from UC Irvine presented applications of AI to biomedicine, covering molecular-level analysis of circadian rhythms, real-time polyp detection in colonoscopy videos, and prediction of post-operative adverse outcomes. He discussed integrating AI in future AI-driven hospitals. The presentation was likely part of a panel discussion hosted by MBZUAI in collaboration with the Manara Center for Coexistence and Dialogue. Why it matters: This highlights the growing interest in AI applications within the healthcare sector in the UAE, particularly through institutions like MBZUAI.
KAUST and Saudi healthtech company amplifAI health have signed an MoU to develop a new disease detection system. The system will combine amplifAI's AI technology with KAUST's HyplexTM hyperspectral imaging, initially for diabetic foot complications. Clinical trials are planned, with aims to reduce amputations and save Saudi Arabia over 2 billion Riyals annually. Why it matters: This partnership showcases the potential of combining Saudi AI and advanced imaging technologies to address pressing healthcare challenges in the region, particularly diabetes.
A research paper co-authored by Dr. Maxim Panov and Kirill Fedyanin from the AI and Digital Science Research Center (AIDRC) has been accepted for publication at NeurIPS 2022. The paper, titled “Nonparametric Uncertainty Quantification for Single Deterministic Neural Network”, proposes a fast and scalable method for uncertainty quantification in ML models. The method disentangles aleatoric and epistemic uncertainties and was validated on text classification and image datasets including MNIST and ImageNet. Why it matters: This demonstrates the growing AI research capabilities and contributions from the UAE to the global AI community, particularly in fundamental machine learning research.
Saudi Arabia has launched the SMAI 2 initiative, building upon the original Saudi National Strategy for Data and AI (NSDAI). The new phase aims to accelerate the development of data and AI capabilities within the Kingdom. SMAI 2 will focus on key sectors and strategic priorities to drive economic diversification and societal progress. Why it matters: The initiative signals Saudi Arabia's ongoing commitment to becoming a leader in AI and data-driven innovation.