MBZUAI ·
Professor Ling Shao, Executive Vice President and Provost of MBZUAI, has been elected an IEEE Fellow. This honor recognizes his contributions to computer vision and representation learning. The IEEE Fellowship is a prestigious distinction given to select IEEE members. Why it matters: This recognition highlights the growing prominence of MBZUAI and its faculty in the international AI research community.
MBZUAI ·
MBZUAI has appointed Dr. Ling Shao as Executive Vice President and Provost to lead academic affairs and research. Dr. Shao is also the CEO and Chief Scientist of the Inception Institute of Artificial Intelligence (IIAI). MBZUAI is partnering with IIAI for PhD student supervision and curriculum development. Why it matters: This appointment signals MBZUAI's commitment to attracting top AI talent and establishing itself as a leading AI research institution in the region.
MBZUAI ·
Dr. Hao Dong from Peking University presented research on addressing the challenge of limited large-scale training data in embodied AI, particularly for manipulation, task planning, and navigation. The presentation covered simulation learning and large models. Dr. Dong is a chief scientist of China's National Key Research and Development Program and an area chair/associate editor for NeurIPS, CVPR, AAAI, and ICRA. Why it matters: Overcoming data scarcity is crucial for advancing embodied AI research and enabling more sophisticated robotic applications in the region.
Inception ·
অধ্যাপক Timothy M. Shaw নিযুক্ত হয়েছেন MBZUAI-এর এক্সিকিউটিভ ভাইস প্রেসিডেন্ট ও প্রভোস্ট হিসেবে। ড. শাও এর আগে হংকং বিজ্ঞান ও প্রযুক্তি বিশ্ববিদ্যালয়ের (HKUST) অধ্যাপক ছিলেন। এই নিয়োগ MBZUAI-এর নেতৃত্বকে শক্তিশালী করবে এবং একাডেমিক উৎকর্ষের প্রতিশ্রুতির উপর জোর দেবে। Why it matters: একটি বিশিষ্ট AI ব্যক্তিত্বের অন্তর্ভুক্তি MBZUAI-এর শিক্ষাগত খ্যাতি বাড়াতে পারে এবং আরও বেশি আন্তর্জাতিক প্রতিভা আকৃষ্ট করতে পারে।
MBZUAI ·
Manling Li from UIUC proposes a new research direction: Event-Centric Multimodal Knowledge Acquisition, which transforms traditional entity-centric single-modal knowledge into event-centric multi-modal knowledge. The approach addresses challenges in understanding multimodal semantic structures using zero-shot cross-modal transfer (CLIP-Event) and long-horizon temporal dynamics through the Event Graph Model. Li's work aims to enable machines to capture complex timelines and relationships, with applications in timeline generation, meeting summarization, and question answering. Why it matters: This research pioneers a new approach to multimodal information extraction, moving from static entity-based understanding to dynamic, event-centric knowledge acquisition, which is essential for advanced AI applications in understanding complex scenarios.
KAUST ·
KAUST Associate Professor Xiangliang Zhang leads the Machine Intelligence and Knowledge Engineering (MINE) group, focusing on machine learning and data mining algorithms for AI applications. The MINE group researches complex graph data to profile nodes, predict links, detect computing communities, and understand their connections. Zhang's team also works on graph alignment and recommender systems. Why it matters: This research contributes to advancing machine learning techniques at a leading GCC institution, potentially impacting various AI applications in the region.
MBZUAI ·
Song Chaoyang from the Southern University of Science and Technology (SUSTech) presented research on Vision-Based Tactile Sensing (VBTS) for robot learning, combining soft robotic design with learning algorithms to achieve state-of-the-art performance in tactile perception. Their VBTS solution demonstrates robustness up to 1 million test cycles and enables multi-modal outputs from a single, vision-based input, facilitating applications such as amphibious tactile grasping and industrial welding. The talk also highlighted the DeepClaw system for capturing human demonstration actions, aiming for a universal interaction interface. Why it matters: This research advances embodied intelligence by improving robot dexterity and adaptability through enhanced tactile sensing, which is crucial for complex manipulation tasks in various sectors such as manufacturing and healthcare within the region.