MBZUAI and AWS have announced a multi-year collaboration to advance AI research, enhance technical skills, and accelerate startup growth in the UAE and wider region. AWS will provide cloud services, mentorship, and access to public datasets, while MBZUAI will contribute faculty expertise and lab capacity. The collaboration includes a strategic research program and the launch of GenAI Academy to develop hackathons for MBZUAI students. Why it matters: This partnership strengthens the UAE's AI ecosystem by bridging academic research with industry application and fostering AI talent development.
The 9th edition of the UAE Hackathon, themed 'Making Impact', has been officially launched for 2026. This initiative aims to stimulate innovation and encourage participants to develop technological solutions for critical national challenges. It serves as a key platform for fostering local talent and advancing the UAE's digital transformation agenda. Why it matters: This ongoing hackathon series highlights the UAE's strategic commitment to building a robust innovation ecosystem and leveraging technology to address societal needs.
KAUST and the Social Responsibility Association (SRA) are hosting their third annual AI hackathon at KAUST with 73 participants from across Saudi Arabia. The hackathon aims to deliver 14 social projects in technology and innovation across the tracks of social issues, housing, tourism, and education. KAUST supports the event to foster entrepreneurship and transform ideas into scalable solutions that serve society. Why it matters: The event highlights the growing focus on AI-driven solutions for social challenges within Saudi Arabia, aligning with Vision 2030's goals for digital entrepreneurship.
The Qatar Computing Research Institute (QCRI) organized a Generative AI Hackathon, showcasing innovative solutions developed by participants. The event brought together students, researchers, and professionals to collaborate on generative AI applications. Participants developed prototypes addressing various societal challenges using cutting-edge AI techniques. Why it matters: This hackathon fosters local AI talent, promotes the application of generative AI to real-world problems in the region, and strengthens Qatar's position in AI innovation.
The Qatar Computing Research Institute (QCRI) recently concluded a Generative AI Hackathon, bringing together participants to innovate with generative artificial intelligence technologies. The event aimed to foster local talent and drive advancements in the field within Qatar. Participants developed various solutions and prototypes using generative AI models and tools. Why it matters: This hackathon signifies Qatar's commitment to cultivating a strong AI ecosystem and developing skilled professionals in cutting-edge AI domains like generative AI.
The Communications and Computing Systems Lab (CCSL) at KAUST received two awards in the International Telecommunication Union AI for Good Machine Learning Challenge and tinyML Hackathon Challenge 2023: Pedestrian Detection. The KAUST team's solution achieved high accuracy in pedestrian identification using event-based cameras, while consuming less power and achieving lower latency. They also received an award for innovative use of "Edge Impulse" for building datasets and training models. Why it matters: This recognition highlights KAUST's growing influence in AI research, particularly in edge computing and computer vision applications for public safety.
KAUST is launching the "Dear AI" campaign and hackathon to address gender bias and under-representation of women and Saudi/Arab people in AI, after finding AI image tools return only 1% women for prompts like "imagine entrepreneur." The campaign calls for accurate representation in AI datasets from Saudi Arabia and beyond. KAUST notes that 47% of graduates in their AI academy are women. Why it matters: This campaign highlights the need for more inclusive AI training data and addresses gender imbalances in STEM fields in Saudi Arabia.
A KAUST and KFUPM student team won at the Saudi Telecom Company (STC) AIoT Hackathon for their AgriDoctor project, an autonomous, sustainable, intelligent agriculture system. The team developed a business plan, trained neural networks for problem detection, and built an IoT device with agricultural sensors. The AgriDoctor system aims to improve crop yields and reduce resource consumption in agriculture. Why it matters: This win highlights the growing focus on AI and IoT applications in Saudi Arabia, particularly in the key domain of sustainable agriculture.