The KAUST Coral Restoration Initiative (KCRI) is planning for a transformative 2025, focusing on digital twins and land-based nurseries, according to KCRI chief scientist Professor David Suggett. The KCRI eCoral™ digital twin will use AI and machine learning for coral restoration, scenario modeling, and decision-making. KCRI's reef-based nurseries can produce up to 100,000 corals per year for transplantation. Why it matters: AI-powered coral reef restoration can help create more resilient ecosystems and inform environmental policymaking in the region.
KAUST researchers collaborated with international scientists to propose a nature-based adaptive approach for coral restoration, published in Nature Reviews in Earth & Environment. The review emphasizes enhancing specific components of the coral holobiont to maximize the natural adaptive capacity of corals to survive climate change. It advocates for customized protection approaches based on the reef's degradation, location, and traits. Why it matters: This research offers a critical roadmap for preserving coral reefs, which are vital ecosystems threatened by climate change, by leveraging the corals' natural adaptive mechanisms.
J. Carlos Santamarina, a Professor of Earth Science and Engineering at KAUST, is researching geomaterial behavior and subsurface processes. His work focuses on energy geo-engineering, resource recovery, and geological storage of energy waste. He uses particle-level experiments, numerical methods, and monitoring systems to understand coupled thermo-hydro-bio-chemo-mechanically processes. Why it matters: This research contributes to energy sustainability and addresses global energy challenges through advanced geotechnology.
MBZUAI Professor Sami Haddadin and his team developed a new framework called Tactile Skills to teach robots manual skills through touch and trial and error. This framework aims to address the gap in robots' ability to learn basic physical tasks compared to AI's advancements in language and image generation. The research, published in Nature Machine Intelligence, focuses on enabling robots to perform manipulation skills at industrial levels with low energy and compute demands. Why it matters: This research could lead to robots capable of performing household maintenance, industrial tasks, and even assisting in medical or rehabilitation settings, potentially solving labor shortages in various sectors in the region and beyond.