Skip to content
GCC AI Research

Search

Results for "Software"

KAUST Extreme Computing Research Center brings astronomy back home

KAUST ·

KAUST's Extreme Computing Research Center (ECRC) developed Multiple Object Adaptive Optics (MOAO) software. The software will contribute to the activities of the world's largest future optical telescope to be deployed in Chile in 2024. MOAO will eliminate atmospheric noise and enable simultaneous observation of multiple objects at different distances. Why it matters: This contribution highlights KAUST's role in cutting-edge astronomical research and positions the Middle East as a key player in advancing observational astronomy.

Software aims to help advance research

KAUST ·

Baker Hughes has donated JewelSuite™ reservoir modeling software to KAUST to enhance teaching, learning, and research. The software simplifies modeling and streamlines the building of accurate 3-D reservoir models. It will enable students and faculty to gain a clearer picture of the subsurface and predict oil or gas deposits. Why it matters: This donation will help KAUST train future leaders in the petroleum engineering industry and advance research in reservoir modeling.

Patenting Software and AI inventions

MBZUAI ·

A partner at Oblon, Stefan Uwe Koschmieder, explained key points for patenting software and AI inventions. Koschmieder works with GCC universities on IP programs and advises foreign clients on IP portfolio management. He also lectured at Freie Universität Berlin on Intellectual Property. Why it matters: As software and AI innovation grows in the GCC, understanding patent law is increasingly important for protecting intellectual property and fostering local innovation.

er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds

arXiv ·

Team TII EuroRacing (TII-ER) developed a full autonomous software stack for oval racing, enabling speeds above 75 m/s (270 km/h). The software includes modules for perception, planning, control, vehicle dynamics modeling, simulation, telemetry, and safety. The team achieved second and third place in the first two Indy Autonomous Challenge events using this stack.

Breathing life into the AI operating system

MBZUAI ·

MBZUAI faculty Eric Xing and Qirong Ho are developing AI operating systems (AI OS) for efficient AI development, similar to mobile OS. They co-founded AI startup Petuum and lead the CASL community, which focuses on composable, automatic, and scalable learning. CASL provides a unified toolkit for distributed training and compositional model construction, with contributions from MBZUAI, CMU, Berkeley, and Stanford. Why it matters: The development of AI OS aims to optimize AI applications by efficiently connecting software and hardware, fostering innovation and broader adoption of AI solutions across industries in the region.

Climate conscious computing

MBZUAI ·

MBZUAI's Qirong Ho and colleagues are developing an Artificial Intelligence Operating System (AIOS) for decarbonization, aiming to reduce energy waste in AI development. The AIOS focuses on improving communication efficiency between machines during AI model training, as inefficient communication leads to prolonged tasks and increased energy consumption. This system addresses the high computing power demands of large language models like ChatGPT and LLaMA-2. Why it matters: By optimizing energy usage in AI development, the AIOS could significantly reduce the carbon footprint of AI technologies in the region and globally.

SSRC Secures seL4 Membership

TII ·

The Secure Systems Research Center (SSRC) has obtained membership in the seL4 Foundation. This membership allows SSRC to participate in and contribute to the open-source development of seL4, a formally verified microkernel OS. SSRC aims to research, contribute to, and advance next-generation high-end edge device environments using seL4's capabilities. Why it matters: This move enhances the UAE's capabilities in developing secure and resilient edge computing solutions, fostering innovation in critical sectors like secure communications and drone technology.

The Autonomous Software Stack of the FRED-003C: The Development That Led to Full-Scale Autonomous Racing

arXiv ·

Researchers from the BME Formula Racing Team present the autonomous software stack of the FRED-003C, which enabled full-scale autonomous racing. The software stack was developed in the context of Formula Student Driverless competitions. The paper details the software pipeline, hardware-software architecture, and methods for perception, localization, mapping, planning, and control. Why it matters: The team's experience contributed to their participation in the Abu Dhabi Autonomous Racing League, and sharing the system provides a valuable starting point for other students in the region.