KAUST ·
Students from the KAUST School volunteered to assemble gift boxes for families in Thuwal as part of the "Sharing is Caring" campaign. The activity was organized to celebrate Eid. Why it matters: This highlights community engagement by a leading STEM university in Saudi Arabia.
KAUST ·
KAUST Social Responsibility organized the annual "Sharing is Caring" program in 2019, with over 120 volunteers assembling and distributing 200 food boxes to neighboring communities during Ramadan. The food hampers contained 29 healthy and seasonal food items, customized based on feedback from Thuwal community families in 2018. Families also ordered specific quantities of meat via a special app. Why it matters: This program strengthens KAUST's ties with local communities and demonstrates its commitment to social responsibility during a significant religious period.
MBZUAI ·
MBZUAI researchers developed LLMVoX, a system enabling LLMs to produce real-time speech, including Arabic. LLMVoX addresses limitations of existing end-to-end and cascaded pipeline approaches, which suffer from either degraded reasoning or latency. LLMVoX was developed as part of Project OMER, which was recently awarded Regional Research Grant from Meta. Why it matters: This enhances the potential of LLMs to function as more natural, multimodal virtual assistants, especially for Arabic-speaking users in the Middle East.
KAUST ·
KAUST Saudi Initiatives organized a back-to-school campaign in August and September 2016. The campaign provided school supplies to students in Thuwal and Qadimah. KAUST volunteers assembled the school supply kits on the university's campus. Why it matters: Such initiatives strengthen KAUST's ties with local communities and support education.
MBZUAI ·
Thamar Solorio from the University of Houston will discuss machine learning approaches for spontaneous human language processing. The talk will cover adapting multilingual transformers to code-switching data and using data augmentation for domain adaptation in sequence labeling tasks. Solorio will also provide an overview of other research projects at the RiTUAL lab, focusing on the scarcity of labeled data. Why it matters: This presentation addresses key challenges in Arabic NLP related to data scarcity, which is a persistent obstacle in developing effective AI applications for the region.
MBZUAI ·
MBZUAI PhD student Salem AlMarri, also a Dubai Police officer, has been appointed to the Dubai Youth Council for 2023-2025. AlMarri's research focuses on using AI to combat crime and improve emergency response times, aiming to contribute to the UAE's AI strategy. In 2019, he was recognized as one of the UAE’s up and coming scientist at the Her Highness Sheikha Fatima Bint Mubarak Program for Excellence and Community Intelligence. Why it matters: This appointment highlights the UAE's focus on empowering young talent in AI to drive innovation and address local challenges in public safety and smart city development.
The National ·
The UAE National Experts Programme has received over 1,000 applications for its Artificial Intelligence (AI) track, highlighting a strong national interest in developing expertise in the field. This program aims to cultivate specialized talent across key sectors in the UAE. The high volume of applicants reflects the country's strategic focus on building a skilled local workforce capable of driving AI innovation and implementation. Why it matters: This initiative is crucial for strengthening the UAE's human capital in AI, aligning with its national agenda to become a global leader in technology and diversify its economy.
MBZUAI ·
Fudan University's Zhongyu Wei presented research on social simulation driven by LLMs, covering individual and large-scale social movement simulation. Wei directs the Data Intelligence and Social Computing Lab (Fudan DISC) and has published extensively on multimodal large models and social computing. His work includes the Volcano multimodal model, DISC-MedLLM, and ElectionSim. Why it matters: Using LLMs for social simulation could provide new tools for understanding and potentially predicting social dynamics in the Arab world.