Skip to content
GCC AI Research

Search

Results for "Aani"

TII Speakers to Participate in 9th Ansys User Codes Conference

TII ·

Researchers from the Technology Innovation Institute (TII)'s DERC and AMRC will participate in the 9th Ansys User Codes Conference in Dubai on November 9. Dr. Chaouki Kasmi will present on Ansys Multiphysics Simulation in Pulsed Power Applications, while Dr. Nesma Aboulkhair will join a panel on challenges in adopting engineering simulation. The conference will focus on sharing simulation experiences and best practices using Ansys solutions. Why it matters: This event provides a platform for Middle East researchers to engage with industry and share expertise in advanced engineering simulation, fostering innovation in the region.

Unveiling new insights through ancient DNA

KAUST ·

Hanin Ahmed, a KAUST Ph.D. graduate in plant science, is now an Ibn-Rushd Postdoctoral Fellow at The Centre for Anthropology and Genomics of Toulouse, France. Her Ph.D. research at KAUST focused on the population genomics and evolutionary history of fonio millet and einkorn wheat. One key finding was the influence of ethnic groups on the genetic diversity of fonio millet, and insights into wheat adaptation during early agriculture from einkorn wheat research published in Nature. Why it matters: This highlights KAUST's role in training researchers who are contributing to advancements in genomics and agriculture, with implications for crop improvement and understanding the impact of social factors on plant genetics.

TII Demonstrates Large-Scale Quantum Annealing Simulations Reaching Up to 500,000 Qubits with NVIDIA Accelerated Computing

TII ·

The Technology Innovation Institute (TII) in Abu Dhabi, in collaboration with NVIDIA, has demonstrated large-scale simulations of the adiabatic quantum annealing (QA) algorithm for problem instances involving up to 500,000 qubits. TII's simulator achieved solution quality exceeding that of all solvers evaluated from the MQLib repository, a library for combinatorial optimization benchmarking. The emulator is accessible to external users via an experimental cloud platform hosted at https://q-inspired.tii.ae. Why it matters: This collaboration expands the range of complex optimization problems that can be investigated using quantum-inspired approaches, beyond those currently achievable with near-term quantum hardware.

Alumni Spotlight: How Sulaiman AlJanahi bridged the gap between academia and industry

MBZUAI ·

MBZUAI alumnus Sulaiman AlJanahi is helping reshape the UAE's payments landscape as a founding member and associate project manager at Al Etihad Payments, a subsidiary of the Central Bank of the UAE. AlJanahi's work focuses on the Aani instant payment system, building on his M.Sc. research on optimization techniques for federated learning. He credits MBZUAI for instilling discipline and a strong work ethic, preparing him for the demands of a fast-paced startup environment. Why it matters: This highlights MBZUAI's role in contributing to the UAE's digital transformation and cashless society initiatives through its graduates' involvement in key national projects.

TII Launches Cloud API Enabling Access to Quantum-Inspired Algorithms

TII ·

The Technology Innovation Institute (TII) in Abu Dhabi has launched a cloud API providing access to quantum-inspired algorithms developed by its Quantum Research Center (QRC). The platform offers a testbed for partners to evaluate and build proof-of-concept applications, with the first algorithm being a quantum annealing emulator. Access is provided through two interfaces, enabling large-scale classical simulations and supporting the solution of combinatorial optimization problems. Why it matters: This initiative expands TII's quantum ecosystem and facilitates applied research and early-stage industry experimentation with advanced computational methods in the GCC region.

Domain Adaptable Fine-Tune Distillation Framework For Advancing Farm Surveillance

arXiv ·

The paper introduces a framework for camel farm monitoring using a combination of automated annotation and fine-tune distillation. The Unified Auto-Annotation framework uses GroundingDINO and SAM to automatically annotate surveillance video data. The Fine-Tune Distillation framework then fine-tunes student models like YOLOv8, transferring knowledge from a larger teacher model, using data from Al-Marmoom Camel Farm in Dubai.

Faculty Focus: Marco Canini

KAUST ·

Marco Canini is an assistant professor of computer science at KAUST in the Computer, Electrical and Mathematical Science and Engineering Division. He is highlighted in a faculty focus piece by KAUST Discovery. Why it matters: Showcases talent at KAUST.