This paper introduces AraLLaMA, a new Arabic large language model (LLM) trained using a progressive vocabulary expansion method inspired by second language acquisition. The model utilizes a modified byte-pair encoding (BPE) algorithm to dynamically extend the Arabic subwords in its vocabulary during training, balancing the out-of-vocabulary (OOV) ratio. Experiments show AraLLaMA achieves performance comparable to existing Arabic LLMs on various benchmarks, and all models, data, and code will be open-sourced. Why it matters: This work addresses the need for more accessible and performant Arabic LLMs, contributing to democratization of AI in the Arab world.
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.
Salem AlMarri, the first Emirati Ph.D. graduate from MBZUAI, developed a video anomaly detection (VAD) system for his thesis. The VAD system can detect subtle anomalies in video, such as suspicious interactions, to help police prevent crimes and save lives. AlMarri's work was carried out under the guidance of Karthik Nandakumar, Affiliated Associate Professor of Computer Vision at MBZUAI. Why it matters: This research showcases the potential of AI in enhancing public safety and security in the UAE, demonstrating practical applications of computer vision in law enforcement.
Rayan Tarek Alamoudi, a KAUST master's student in biological sciences, is researching under Professor Pierre Magistretti. Alamoudi believes his bioscience studies at KAUST will open opportunities aligned with Saudi Vision 2030. Interacting with diverse fellow students has enriched his educational experience at KAUST. Why it matters: This highlights KAUST's role in developing local talent in scientific research and aligns with Saudi Arabia's Vision 2030 goals for scientific advancement.
Dr. Fernando Albarracin from the Technology Innovation Institute has presented a novel microwave applicator design for hyperthermia, potentially useful in cancer treatment. The design combines two flat dielectric graded-index (GRIN) lenses to localize electromagnetic energy within a specific spot in the tissue. This system offers a suitable alternative to conventional antenna-based applicators by considering the interface between free space and human tissue. Why it matters: This research introduces a new approach to hyperthermia treatment that could improve the precision and effectiveness of cancer therapy in the region.