TII's Autonomous Robotics Research Center (ARRC) and NYU's Agile Robotics and Perception Lab have released RLtools, an open-source reinforcement learning library. RLtools achieves a 75x speed-up in training compared to existing libraries, enabling drone controller training on standard computers. It allows training on consumer-grade laptops or directly on microcontrollers, addressing resource efficiency and deployment challenges. Why it matters: This library accelerates the development and deployment of autonomous systems by reducing training time and resource requirements, making advanced AI more accessible.
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.
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.
MBZUAI researchers release OpenFactCheck, a unified framework to evaluate the factual accuracy of large language models. The framework includes modules for response evaluation, LLM evaluation, and fact-checker evaluation. OpenFactCheck is available as an open-source Python library, a web service, and via GitHub.
This paper introduces ProgramFC, a fact-checking model that decomposes complex claims into simpler sub-tasks using a library of functions. The model uses LLMs to generate reasoning programs and executes them by delegating sub-tasks, enhancing explainability and data efficiency. Experiments on fact-checking datasets demonstrate ProgramFC's superior performance compared to baseline methods, with publicly available code and data.
The Technology Innovation Institute's (TII) Cryptography Research Center (CRC) has launched CLAASP, a cryptographic library for the automated analysis of symmetric primitives. CLAASP, built on SageMath and Python3, automates the design analysis of block ciphers, cryptographic permutations, hash functions, and stream ciphers. Released as an open-source tool with a GPLv3 license, CLAASP aims to ensure design sovereignty for organizations creating symmetric ciphers. Why it matters: This tool provides an important resource for the region to strengthen its cryptographic capabilities and contribute to global efforts in safeguarding digital infrastructure against evolving threats, including quantum computing.
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.