KAUST and the National Industrial Development and Logistics Program (NIDLP) will establish a capability center for the Fourth Industrial Revolution (4IR) in Saudi Arabia's western region. A memorandum of understanding (MoU) was signed by KAUST President Dr. Tony Chan and NIDLP CEO Eng. Suliman Al Mazroua. The center aims to accelerate the adoption of 4IR technologies in sectors like industry, mining, energy and logistics. Why it matters: This partnership will drive digital transformation and economic diversification in line with Saudi Vision 2030 by fostering local capabilities in advanced technologies.
KAUST and the National Industrial Development and Logistics Program (NIDLP) have partnered to support KAUST's Technology Innovation and Entrepreneurship (TIE) program. NIDLP will offer scholarships to TIE students and support them in R&D projects aligned with Vision 2030. NIDLP will also help students explore career opportunities in R&D fields after graduation. Why it matters: This partnership strengthens Saudi Arabia's focus on developing local talent and innovation in line with Vision 2030's goals for a knowledge-based economy.
KAUST's Technology, Innovation, and Entrepreneurship (TIE) program and the National Industrial Development and Logistics Program (NIDLP) are collaborating to train Saudi entrepreneurs. The "Startup Founder Leadership Program," co-developed with SDA Bocconi, provided five-day intensive training to 28 participants selected from 147 applicants. The program focused on marketing, communication, finance, and entrepreneurship management skills. Why it matters: This partnership highlights the focus on developing local talent and fostering innovation within Saudi Arabia's evolving entrepreneurial ecosystem.
KAUST and the National Industrial Development and Logistics Program (NIDLP) partnered to empower Saudi entrepreneurs through the 1K MILE Program and KAUST's Saudi Leadership Institute (KSLI). Held at KAUST, the program included participants selected from the 1K MILE Program honing their skills alongside peers and trainers from the Thunderbird School of Global Management at Arizona State University. The "Leadership in the Fourth Industrial Revolution Workshop" featured industry leaders from top Saudi organizations, emphasizing automation and technology adoption. Why it matters: This collaboration fosters high-growth sectors and develops future leaders, aligning with Saudi Arabia's vision for economic growth and innovation in line with Vision 2030.
KAUST welcomed Monsha'at, the National Industrial Development and Logistics Program (NIDLP), and the Royal Commission of Al Ula to its Industry Collaboration Program (KICP). These new members, announced at the 12th annual KAUST Industry Advisory Board (KIAB) meeting, bring the total KICP membership to 25. The KIAB event focused on AI's role in the digital transformation of health, society, and the economy. Why it matters: This highlights KAUST's commitment to fostering industry partnerships in AI and other key sectors to advance Saudi Arabia's Vision 2030.
MBZUAI has appointed Professor Timothy Baldwin as Associate Provost and acting chair of its new NLP Department. Baldwin will focus on strengthening the curriculum and building a world-class faculty team. He previously spent 17 years at the University of Melbourne. Why it matters: The recruitment signals MBZUAI's commitment to becoming a leading center for NLP research and education in the region.
Researchers from the Directed Energy Research Center (DERC) will present research papers at the 17th Workshop of the International Lithosphere Program Task Force on Sedimentary Basins in Abu Dhabi. Dr. Meixia Geng's study identifies potential geothermal exploration sites in the UAE based on Curie isotherm depths. Dr. Felix Vega's research demonstrates drone-borne synthetic aperture radar (SAR) for subsurface mapping of underground cavities. Why it matters: These studies showcase the UAE's commitment to sustainable development through geothermal energy exploration and advanced subsurface imaging techniques.
Researchers introduce TII-SSRC-23, a new network intrusion detection dataset designed to improve the diversity and representation of modern network traffic for machine learning models. The dataset includes a range of traffic types and subtypes to address the limitations of existing datasets. Feature importance analysis and baseline experiments for supervised and unsupervised intrusion detection are also provided.