QRC has developed Qibo, a Python library enabling classical simulation of quantum algorithms with double precision. Qibo leverages hardware accelerators like GPUs and CPUs with multi-threading. It incorporates a multi-GPU distributed approach for circuit simulation. Why it matters: This framework allows researchers and developers in the region to explore and prototype quantum algorithms using existing classical computing infrastructure, fostering innovation in quantum computing research and applications.
Abu Dhabi’s Technology Innovation Institute (TII) has launched the UAE's first Post-Quantum Cryptography (PQC) software library, developed by the Cryptography Research Center (CRC). The library, written in C, supports various computer architectures and operating systems and has been integrated into secure communication products. It includes algorithms designed to protect against attacks by quantum computers, which threaten classic cryptographic methods. Why it matters: This launch positions the UAE among nations with advanced digital security capabilities, enhancing data confidentiality and security in the face of emerging quantum computing threats.
Abu Dhabi’s Technology Innovation Institute (TII) announced that its Cryptography Research Center (CRC) has developed the UAE’s first national crypto library. The library is designed to protect sensitive data using custom symmetric and asymmetric cryptographic primitives. It will be integrated into the UAE’s critical digital infrastructure across sectors like finance, healthcare, and telecommunications. Why it matters: This establishes sovereign capability in cryptography and enhances security levels against increasingly sophisticated cyberattacks in the UAE.
Michael Hickner, an Associate Professor from Penn State University, visited KAUST as part of the CRDF-KAUST-OSR Visiting Scholar Fellowship Program. Hickner specializes in Materials Science and Engineering, Chemistry, and Chemical Engineering. The visit was documented with photos by Meres J. Weche. Why it matters: Such programs foster international collaboration and knowledge exchange in science and engineering between KAUST and other leading institutions.
This paper proposes a smart dome model for mosques that uses AI to control dome movements based on weather conditions and overcrowding. The model utilizes Congested Scene Recognition Network (CSRNet) and fuzzy logic techniques in Python to determine when to open and close the domes to maintain fresh air and sunlight. The goal is to automatically manage dome operation based on real-time data, specifying the duration for which the domes should remain open each hour.
The National Institute of Standards and Technology (NIST) has been evaluating Post-Quantum Cryptography proposals since 2017. Lattice-based schemes have emerged as efficient candidates for Key Encapsulation Mechanisms (KEM) and Digital Signatures. This talk will cover the core operations within lattice-based schemes and efficient implementation strategies. Why it matters: As quantum computing advances, exploring and standardizing post-quantum cryptography is crucial for maintaining secure communication and data protection in the future.
A KAUST-led team in collaboration with Japan's National Institute of Informatics and Cray Inc. has implemented a new algorithm to harness the power of supercomputers. The algorithm integrates new singular value decomposition (SVD) codes into Cray LibSci scientific libraries, supporting machine learning and data de-noising applications. This was achieved through the Cray Center of Excellence (CCOE) at KAUST, established in 2015. Why it matters: The new algorithm helps to optimize the use of advanced supercomputing infrastructure in the region, specifically KAUST's Shaheen II, for computationally intensive AI applications.
Qirong Ho, co-founder and CTO of Petuum Inc., will be contributing to the "ML Systems for Many" initiative. Petuum is recognized for creating standardized building blocks for AI assembly. Ho also holds a Ph.D. from Carnegie Mellon University and is part of the CASL open-source consortium. Why it matters: Showcases the ongoing efforts to democratize AI development and deployment, making it more accessible and sustainable, although the specific initiative is not further detailed.