The World AI Show Indonesia 2025 will be held in Jakarta, aiming to boost AI adoption across Southeast Asia. The event will feature AI experts, startups, and investors. Discussions will cover AI applications in various sectors including finance, healthcare, and smart cities. Why it matters: The conference highlights the growing importance of AI in Southeast Asia's economic development and digital transformation.
MBZUAI faculty won two awards and published eight papers at the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023). Alham Fikri Aji and Fajri Koto won the Best Resource Award for NusaWrites, a paper on constructing high-quality corpora for low-resource Indonesian languages by engaging speaker communities. Muhammad Abdul-Mageed won an Area Chair award for ProMap, a method for constructing bilingual dictionaries via language model prompting. Why it matters: This highlights MBZUAI's contribution to NLP research, particularly in low-resource languages and bilingual lexicon induction, and strengthens its position as a hub for AI research in the region.
VinAI Research presented research projects focused on advancing image generation and manipulation using GANs and Diffusion Models. The research aims to improve GANs regarding utility, coverage, and output consistency. For Diffusion Models, the work focuses on improving the models’ speed to approach real-time performance and prevent negative social impact of diffusion-based personalized text-to-image generation. Why it matters: This talk indicates ongoing research and development in generative AI in Southeast Asia, an area of growing interest globally.
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.
This paper surveys machine learning approaches using monument pictures for analyzing heritage sites in India. It addresses challenges in the tourism sector, such as the unavailability of trained personnel and the lack of accurate information. The research aims to provide insights for building an automated decision system to modernize the tourism experience for visitors in India.
KAUST's Discovery Week featured a gala and awards ceremony. Professor Gilles Lubineau opened the proceedings at the 2017 WEP Final Gala. A Javanese shadow puppet performance of the “Ramayana Epic” was also part of the event. Why it matters: Showcases KAUST's commitment to cultural exchange alongside its research activities.
Saee, a KAUST-supported Saudi startup based in Jeddah, aims to disrupt last-mile delivery in Saudi Arabia by addressing challenges like delays and cash-on-delivery (COD) issues. They offer services such as fast COD consolidation, flexible dispatch to freelancers, and warehouse management. Saee also introduces a new concept called Cash Before Delivery (CBD) to improve cash flow for e-commerce platforms. Why it matters: This aims to solve a key bottleneck for e-commerce growth in Saudi Arabia, where COD is prevalent and creates financial inefficiencies.