KAUST ·
Carlos Duarte, a professor of Marine Science at KAUST, discusses climate change adaptation and mitigation. He was interviewed outside the KAUST Museum of Science and Technology. The interview is part of a Frontiers Research Topic on Climate Change Adaptation and Mitigation. Why it matters: This highlights KAUST's focus on addressing climate change through scientific research and its engagement with international platforms like Frontiers.
arXiv ·
This paper introduces Adaptive Entropy-aware Optimization (AEO), a new framework to tackle Multimodal Open-set Test-time Adaptation (MM-OSTTA). AEO uses Unknown-aware Adaptive Entropy Optimization (UAE) and Adaptive Modality Prediction Discrepancy Optimization (AMP) to distinguish unknown class samples during online adaptation by amplifying the entropy difference between known and unknown samples. The study establishes a new benchmark derived from existing datasets with five modalities and evaluates AEO's performance across various domain shift scenarios, demonstrating its effectiveness in long-term and continual MM-OSTTA settings.
MBZUAI ·
This article discusses domain shift in machine learning, where testing data differs from training data, and methods to mitigate it via domain adaptation and generalization. Domain adaptation uses labeled source data and unlabeled target data. Domain generalization uses labeled data from single or multiple source domains to generalize to unseen target domains. Why it matters: Research in mitigating domain shift enhances the robustness and applicability of AI models in diverse real-world scenarios.
arXiv ·
The paper introduces Yet another Policy Optimization (YaPO), a reference-free method for learning sparse steering vectors in the latent space of a Sparse Autoencoder (SAE) to steer LLMs. By optimizing sparse codes, YaPO produces disentangled, interpretable, and efficient steering directions. Experiments show YaPO converges faster, achieves stronger performance, exhibits improved training stability and preserves general knowledge compared to dense steering baselines.
KAUST ·
Dr. Jeffrey Schnapp from Harvard University discussed the shift from mobility to movability and human-centric autonomy in robotics at KAUST's 2018 Winter Enrichment Program. He presented Gita, a cargo robot designed to move like humans and support pedestrian lifestyles. Piaggio Fast Forward, Schnapp's company, aims to create robots that coexist with humans and enhance the quality of life in pedestrian-friendly environments. Why it matters: This highlights KAUST's engagement with innovative robotics research and its focus on exploring human-robot interaction for future urban development in Saudi Arabia.
MBZUAI ·
Professor Hava Siegelmann, a computer science expert, is researching lifelong learning AI, drawing inspiration from the brain's abstraction and generalization capabilities. The research aims to enable intelligent systems in satellites, robots, and medical devices to adapt and improve their expertise in real-time, even with limited communication and power. The goal is to develop AI systems applicable for far edge computing that can learn in runtime and handle unanticipated situations. Why it matters: This research could lead to more resilient and adaptable AI systems for critical applications in remote and resource-constrained environments, with potential benefits for various sectors in the Middle East.
MBZUAI ·
MBZUAI hosted a talk by Visiting Associate Professor Adrian Bors on continuously streaming AI and the challenge of catastrophic forgetting. The talk covered approaches to continual learning like expanding mixtures of models and generative replay mechanisms. Results were presented on image classification and generation tasks. Why it matters: Continual learning is crucial for AI systems to adapt to new environments and real-world data without forgetting previous knowledge.
KAUST ·
KAUST's Winter Enrichment Program (WEP) 2026, themed "Adaptation: Reshaping for a Fluctuating Future," convened students and researchers to explore adaptation through science and community. Speakers emphasized KAUST's role in preparing Saudi Arabia for change and the importance of aligning research with national goals. The program highlighted the Nabataean Traverse Expedition, a multidisciplinary scientific expedition from Petra to AlUla, involving KAUST's Professor Alexandre Rosado. Why it matters: The WEP program underscores KAUST's commitment to fostering innovation and preparing future leaders to address complex challenges facing Saudi Arabia and the world.