Dr. Leslie Dewan, co-founder and CEO of Transatomic, spoke at KAUST's Winter Enrichment Program about next-generation sustainable nuclear power plants. Dewan advocates for both nuclear and renewable energy to meet energy demands. She believes her company's new reactor design, which uses better fuel and reduces nuclear waste, is ideal for countries with rising power demands like Saudi Arabia. Why it matters: This highlights KAUST's engagement with innovative energy solutions and their potential relevance to Saudi Arabia's future energy strategy.
William Tang from Princeton spoke at KAUST about using deep learning to achieve nuclear fusion. Nuclear fusion, recreating stellar conditions on Earth, is considered the "holy grail" of power sources because it is clean and does not produce radioactive waste. Tokamaks, invented by Soviet physicists, are devices used to contain plasma, the superheated ionized gas required for fusion. Why it matters: KAUST is contributing to research on sustainable energy solutions, including exploring the potential of AI in nuclear fusion, a potentially transformative clean energy source.
KAUST's Health, Safety and Environment (HSE) department recently hosted a webinar on radiation protection and safety in research, industry and medicine, in cooperation with the Nuclear and Radiological Regulatory Commission (NRRC). KAUST is the only university in the Kingdom conducting research using open radioactive sources and has a dedicated radiation labeling laboratory. The webinar was broadcast live to approximately 400 attendees from 16 different countries. Why it matters: This highlights KAUST's leadership role in radiation safety and its commitment to promoting best practices in the region.
KAUST and GE have partnered to study the feasibility of using crude oils like Arabian Super Light (ASL) to power heavy-duty gas turbines. The collaboration aims to develop turbines capable of burning crude oil directly from the ground to meet Saudi Arabia's energy security needs. The research involves building a rig at KAUST's High Pressure Combustion Laboratory (HPCL) to conduct corrosion tests on turbine materials by burning ASL/AXL crude continuously for 2,000 hours. Why it matters: This partnership could reduce reliance on natural gas and offer an economically viable alternative fuel source, bolstering energy security in Saudi Arabia and potentially influencing turbine technology worldwide.
MBZUAI's president Eric Xing warns against the unchecked pursuit of increasingly large AI models, drawing an analogy to an "atomic bomb" due to the unpredictability of their behavior. He argues that the field lacks sufficient understanding of what these models learn and whether their outputs are reliable, advocating for more efficient models. Xing emphasizes the need for debuggability and error tracking in AI, similar to established engineering practices. Why it matters: The piece highlights growing concerns within the AI community about the scalability and potential risks associated with increasingly complex AI models, particularly regarding transparency and control.