KAUST has launched self-driving shuttles on its campus, making it the first adopter of autonomous vehicles in Saudi Arabia. The pilot project utilizes vehicle technology from Local Motors and EasyMile. SAPTCO will operate the autonomous shuttles and manage operations with Saudi staff. Why it matters: This initiative advances Saudi Arabia's 2030 Vision and positions KAUST as a regional leader in smart city development and AI research.
Lucid Motors is partnering with KAUST to recruit talent for its EV manufacturing plant in King Abdullah Economic City (KAEC). KAUST's programs aim to connect talent with job-market demands of EV companies like Lucid, particularly in electrical, automotive engineering, battery tech, and renewable energy. A KAUST alumnus highlighted his role at Lucid as contributing to Saudi Arabia's transformation into a global technology leader, supported by Vision 2030. Why it matters: The partnership accelerates Saudi Arabia's Vision 2030 goals in the EV sector by leveraging local talent and research capabilities.
Elon Musk announced that Tesla's project to build a mega AI chip fabrication facility will launch in approximately seven days. The project aims to support Tesla's AI development, particularly for autonomous driving. Tesla has been increasing its investments in AI infrastructure to train large models. Why it matters: This fab could reduce reliance on external chip suppliers and accelerate advancements in self-driving technology in the region and globally.
KAUST, Abdul Latif Jameel Motors, and Toyota have formed a partnership to advance hydrogen fuel cell research in Saudi Arabia, supporting the Kingdom's decarbonization goals. KAUST has acquired proton electrolyte membrane (PEM) fuel cell modules from Toyota to establish a dedicated laboratory under its Clean Energy and Research Platform (CERP). Researchers at KAUST are conducting studies to optimize PEM fuel cells for Saudi Arabia's environmental conditions, aiming to maximize efficiency and reliability. Why it matters: This collaboration supports Saudi Arabia's Vision 2030 and net-zero goals, fostering innovation in hydrogen technology and sustainable energy solutions within the region.
Students at Khalifa University in the UAE have developed a Radio-Frequency Artificial Intelligence Language Model. This innovation applies AI language model principles to the domain of radio frequency signals. The project highlights student-led research and development within the Abu Dhabi-based institution. Why it matters: This showcases local AI innovation in the UAE, exploring novel applications of language model paradigms beyond traditional text processing and contributing to specialized AI research.
This paper introduces a longitudinal control system for autonomous racing vehicles with combustion engines, translating trajectory-tracking commands into low-level vehicle controls like throttle, brake pressure, and gear selection. The modular design facilitates integration with various trajectory-tracking algorithms and vehicles. Experimental validation on the EAV24 racecar during the Abu Dhabi Autonomous Racing League at Yas Marina Circuit demonstrated the system's effectiveness, achieving longitudinal accelerations up to 25 m/s². Why it matters: This research contributes to the advancement of autonomous racing technology in the region, showcasing practical applications in high-performance scenarios and fostering innovation in vehicle control systems.