An MBZUAI team won the Cisco Sustainability Challenge with 'Energy for the People,' an AI-powered solution to improve the national energy grid. The system uses an AI-based rewarding system to motivate energy efficiency among residential energy consumers. The winning team received a six-month mentorship from Cisco experts to develop the project further. Why it matters: The solution addresses the UAE's Energy Strategy 2050 goals to reduce carbon footprint by 70% and increase clean energy consumption by 50% by leveraging AI for sustainable solutions.
A team of MBZUAI students won the Pioneers 4.0 Hackathon by developing an AI-based predictive maintenance solution using sensor data. The solution uses data preprocessing techniques and the Prophet model to identify anomalies in manufacturing, leading to energy savings and preventing sensor outages. The hackathon, organized by MoIAT and EDGE, involved 15 students from UAE universities. Why it matters: This highlights the practical application of AI skills being cultivated at UAE universities and their potential to address industrial challenges in line with the UAE's 4IR strategy.
A team of KAUST researchers led by Abdulwahab Felemban won first place in the Digital Research track at the inaugural Digital Innovation Awards from MCIT for their AI-driven water tap, Smart-Tap. Smart-Tap uses AI to personalize water flow and pressure, reducing waste by up to 43% compared to infrared taps. The project was inspired by the water waste observed during the Wudu ritual. Why it matters: This award highlights the potential of AI-driven solutions developed in Saudi Arabia to address critical sustainability challenges like water conservation, aligning with the Kingdom's National Water Strategy 2030.
Professor Mérouane Debbah, Chief Researcher at AIDRC, and his co-authors received the 2022 IEEE TAOS TC Best GCSN Paper Award for their work on federated quantized neural networks. The paper, presented at IEEE ICC 2022, explores the tradeoff between energy, precision, and accuracy in these networks. The research proposes an optimal quantization level to minimize energy consumption during training, making it less prohibitive for mobile devices. Why it matters: The award recognizes work that reduces the carbon footprint of large-scale AI systems, a key challenge for sustainable AI deployment in the region and globally.
KAUST hosted Saudi Arabia's first National Hackathon of Energy, in partnership with the Saudi Electricity Company's Innovation Energy Incubator. Innovators collaborated to find technical solutions for the Kingdom's energy challenges. Three projects were honored: AI-HUB for cybersecurity, a smart circuit breaker, and 'Amn Al-Kafa’at,' a fire extinguisher system. Why it matters: This hackathon highlights the growing focus on using AI and technology to address energy challenges in Saudi Arabia, with KAUST playing a central role in fostering innovation.