MBZUAI ·
MBZUAI alumnus Abdelrahman Shaker discusses his evolving perspective on impactful AI research, shifting from publication counts to real-world usefulness. He highlights the success of his SwiftFormer and EdgeNext papers, which have been adopted by third parties and reached millions of users. Shaker chose MBZUAI for its faculty expertise, which led to 10 publications and over 2,500 citations during his Ph.D.
MBZUAI ·
A computer science vision involves computing devices becoming proactive assistants, enhancing various aspects of life through user digitization. Current devices provide coarse digital representations of users, but there's significant potential for improvement. Karan, a Ph.D. candidate at CMU, develops technologies for consumer devices to capture richer user representations without sacrificing practicality. Why it matters: Advancements in user digitization can lead to improved extended reality experiences, health tracking, and more productive work environments, enhancing the utility of consumer devices.
arXiv ·
Researchers present RUR53, an unmanned ground vehicle (UGV) capable of autonomous navigation, object recognition, and tool manipulation. The UGV uses a modular software architecture, enabling it to perform complex tasks like detecting panels, docking, and manipulating tools such as wrenches and valve stems. RUR53 was tested at the 2017 Mohamed Bin Zayed International Robotics Challenge where it ranked third in the Grand Challenge as part of a collaboration. Why it matters: This research demonstrates advanced robotics capabilities applicable to various industrial and inspection tasks, highlighting the UAE's focus on robotics innovation.
MBZUAI ·
MBZUAI alumnus Abdelrahman Shaker reflects on his evolving definition of impact in AI research, now valuing real-world usefulness over publication count. His work on efficient models like SwiftFormer (ICCV'23) and EdgeNext saw unexpected adoption, with millions of downloads and integration into real-world applications. Shaker chose MBZUAI for its faculty alignment, resulting in 10 publications and over 2,500 citations by graduation. Why it matters: This highlights the increasing focus on practical applications and real-world impact within the AI research community in the GCC region, as opposed to purely academic metrics.
MBZUAI ·
The article discusses how AI is being used to enhance the Olympic and Paralympic Games, with a focus on research from MBZUAI. PhD student Ahmed Sharshar is developing lightweight AI models for accessible gym coaching, while Intel is using AI to improve accessibility for the visually impaired and provide a chatbot for athletes. MBZUAI's Karima Kadaoui suggests AI could customize equipment and prosthetics for Paralympians, optimizing performance and safety. Why it matters: AI has the potential to democratize access to advanced training technologies and enhance the experience for both athletes and spectators at the Olympic Games.
KAUST ·
Abhay Dokania, a Ph.D. student at KAUST, is researching the conversion of CO2 to useful chemicals under the supervision of Professor Jorge Gascon at the KAUST Catalysis Center. His work focuses on developing multi-functional heterogeneous catalysts. Dokania's background includes degrees from Birla Institute and TU Delft, as well as research experience in the Netherlands. Why it matters: This research contributes to sustainable chemical engineering and CO2 reduction, aligning with Saudi Arabia's broader environmental goals.
arXiv ·
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.