KAUST Ph.D. student Nils Rädecker won a best student presentation award at the European Coral Reef Symposium (ECRS) 2017 for his talk on coral bleaching. Rädecker's presentation focused on the underlying mechanisms of coral bleaching and the breakdown of symbiosis between corals and endosymbiotic algae due to ocean warming. His research explores the nutrient exchange between the coral host and algal symbiont to understand why the symbiosis is disrupted. Why it matters: This award recognizes important research into coral bleaching, a critical issue for marine ecosystems in the Red Sea and globally, highlighting KAUST's contribution to addressing environmental challenges.
Ekaterina Radionova from Smarter AI (formerly Samsung AI Center) presented an approach to generating lifelike real-time avatars. The work focuses on generating high-quality video with authentic facial features to support online generation. Radionova's master's degree is from Skoltech on Data Science program and Bachelor degree at Moscow Institute of Physics and Technology on Applied Math. Why it matters: Achieving realistic real-time avatars is critical for applications in online communication, entertainment, and virtual reality within the region.
The UAE National Experts Program (NEP) has received over 1,000 applications for its artificial intelligence track. The NEP aims to cultivate and prepare UAE national experts across various strategic sectors. The AI track focuses on developing expertise in AI to support the UAE's national AI strategy. Why it matters: This high application rate signals strong interest in AI among UAE nationals, crucial for advancing the UAE's AI ambitions and digital transformation.
A research paper co-authored by Dr. Maxim Panov and Kirill Fedyanin from the AI and Digital Science Research Center (AIDRC) has been accepted for publication at NeurIPS 2022. The paper, titled “Nonparametric Uncertainty Quantification for Single Deterministic Neural Network”, proposes a fast and scalable method for uncertainty quantification in ML models. The method disentangles aleatoric and epistemic uncertainties and was validated on text classification and image datasets including MNIST and ImageNet. Why it matters: This demonstrates the growing AI research capabilities and contributions from the UAE to the global AI community, particularly in fundamental machine learning research.
AI filmmaker James Gerde is utilizing Abu Dhabi as a hub for developing and testing artificial intelligence tools for film production. He is leveraging the emirate's strategic focus on future technologies and its burgeoning AI ecosystem to push creative boundaries. Gerde's work explores the integration of AI into various stages of filmmaking, from concept generation to post-production. Why it matters: This highlights Abu Dhabi's growing role as an attractive destination for global AI talent and innovation, particularly in creative industries.