The first Workshop on Language Models for Low-Resource Languages (LoResLM 2025) was held in Abu Dhabi as part of COLING 2025. It provided a forum for researchers to share work on language models for low-resource languages. The workshop accepted 35 papers from 52 submissions, covering diverse languages and research areas.
KAUST's Center of Excellence for Generative AI will host the fourth annual "Rising Stars in AI" Symposium from April 7-10, 2025. The symposium is designed for emerging researchers (PhD students, PostDocs, and early career faculty) to discuss AI research. Selected speakers will have their flights and hotel expenses covered. Why it matters: This event provides a platform for young AI researchers to present their work and network with peers, fostering innovation and collaboration in the field.
The 31st International Conference on Computational Linguistics (COLING 2025) will be held in Abu Dhabi in January 2025, hosted by Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). COLING is a major biennial NLP and AI conference that brings together leaders from research centers, academia, and industry. The conference will feature keynote talks, presentations, workshops, and tutorials, with 1,500 expected participants. Why it matters: Hosting COLING underscores the UAE's growing role in AI and NLP research and provides a platform to address regional linguistic challenges and advance AI technologies.
The 31st International Conference on Computational Linguistics (COLING 2025) is being held in Abu Dhabi from January 18-24, hosted by MBZUAI. The conference features paper presentations, demonstrations, keynote speeches, workshops, and tutorials, with over 1,500 attendees. MBZUAI faculty and students contributed 22 papers to the conference, including research on fact-checking and cross-cultural content. Why it matters: Hosting COLING 2025 highlights the UAE's growing role as a hub for AI and NLP research, particularly in Arabic language processing.
MBZUAI's Provost, Tim Baldwin, provides six predictions for AI in 2025, highlighting the rise of agentic AI systems capable of performing actions on behalf of users. He notes the recent release of open-weight reasoning models like DeepSeek's R1 and OpenAI's o3-mini, emphasizing the dynamic nature of the field. Baldwin stresses the potential benefits of agentic AI, such as automating complex tasks like travel planning, while also cautioning about the need for careful deployment due to unforeseen outcomes. Why it matters: The predictions provide insight into the near-term trajectory of AI development and deployment, particularly regarding AI agents, and highlights the role of a UAE university in shaping the discussion around AI innovation.
KAUST, KACST, and NEOM ERI Foundation will host the fourth Future of Semiconductors Forum in Saudi Arabia on May 4–5, 2025. The forum aims to advance Saudi Arabia's goal of becoming a regional hub for advanced technologies, especially semiconductors, and aligns with Vision 2030. It will convene industry leaders, researchers, policymakers, and experts to exchange knowledge, explore collaborations, and showcase the latest semiconductor advancements. Why it matters: This event signals Saudi Arabia's continued investment and strategic focus on developing a domestic semiconductor industry, critical for AI and other advanced technology sectors.
MBZUAI faculty and students will present 53 papers at NeurIPS 2023. Key faculty include Eric Xing, Kun Zhang, and Tongliang Liu, each contributing to nine papers. One paper was selected for oral presentation and two for spotlight presentations. Why it matters: MBZUAI's strong presence at NeurIPS highlights its growing influence in the global AI research community and its focus on high-impact AI research.
MBZUAI faculty and researchers had 27 papers accepted at the 2022 NeurIPS conference. 12 MBZUAI faculty members have at least one paper accepted, with Professor Kun Zhang leading with 10 papers. Other faculty with accepted publications include Eric Xing, Le Song, and Fahad Khan. Why it matters: This achievement highlights MBZUAI's growing prominence in the global machine learning research community.