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KAUST Associate Professor Xiangliang Zhang talks about artificial intelligence

KAUST ·

KAUST Associate Professor Xiangliang Zhang presented her work on mining streaming and temporal data at the International Joint Conference on Artificial Intelligence and the European Conference on Artificial Intelligence (IJCAI-ECAI-18) in Stockholm. Her talk, "Mining Streaming and Temporal Data: from Representation to Knowledge," summarized her research on mining data streams. Zhang directs the KAUST Machine Intelligence and kNowledge Engineering (MINE) group, which focuses on knowledge discovery from large-scale data. Why it matters: Showcases KAUST's contributions to AI research and highlights the university's growing recognition within the international AI community.

QCRI, UNDP to host workshop on use of AI to solve problems - Qatar Tribune

QCRI ·

Qatar Computing Research Institute (QCRI) and the United Nations Development Programme (UNDP) will host a workshop on using artificial intelligence to solve development problems. The workshop aims to bring together experts and practitioners to explore AI applications. It will focus on identifying opportunities for AI to address challenges in various sectors. Why it matters: This event signals growing interest in leveraging AI for social good and development across the Arab region.

MBZUAI at ACL2023

MBZUAI ·

MBZUAI researchers had 26 papers accepted at ACL 2023, a top NLP conference. Assistant Professor Alham Fikri Aji co-authored eight papers, including one on crosslingual generalization through multitask finetuning (MTF). Deputy Department Chair Preslav Nakov co-authored a paper on a Bulgarian language understanding benchmark dedicated to the memory of Yale Computer Scientist Dragomir R. Radev. Why it matters: MBZUAI's strong presence at ACL highlights its growing influence in the NLP field and its contributions to multilingual AI research.

MBZUAI researchers at ICML

MBZUAI ·

MBZUAI researchers will present 20 papers at the 40th International Conference on Machine Learning (ICML) in Honolulu. Visiting Associate Professor Tongliang Liu leads with seven publications, followed by Kun Zhang with six. One paper investigates semi-supervised learning vs. model-based methods for noisy data annotation in deep neural networks. Why it matters: The research addresses the critical issue of data quality and accessibility in machine learning, particularly for organizations with limited resources for data annotation.

Saudi students win medals at IChO 2018

KAUST ·

Four Saudi students mentored by KAUST Professor Kuo-Wei Huang won one silver and three bronze medals at the 50th International Chemistry Olympiad (IChO 2018) in Prague. Bader Almulhim won a silver medal, while Abdulrahman Aledrees, Ali Alasmari and Osama Alali won bronze. Almulhim and Alasmari were accepted to the KAUST Gifted Student Program (KGSP) and will study in the U.S. Why it matters: This highlights KAUST's role in nurturing scientific talent and promoting STEM education in Saudi Arabia, though the direct AI relevance is limited.

MBZUAI to highlight AI research for sustainability at COP28 UAE and its important role in providing solutions

MBZUAI ·

MBZUAI will showcase AI research for sustainability at COP28 in Dubai, highlighting AI's role in addressing climate change. The university will present research projects including generative AI, efficient AI operating systems, remote patient monitoring, and AI solutions for urban heat islands. MBZUAI will also emphasize its role in developing the UAE’s AI ecosystem. Why it matters: This underscores the increasing recognition of AI as a crucial tool for achieving sustainability goals in the Middle East and globally.