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Technology Innovation Institute (TII) Unveils Manarat: Advancing the Path Toward Scalable Quantum Computers

TII ·

The Technology Innovation Institute (TII) in Abu Dhabi has launched Manarat, a custom-developed control electronics platform for quantum computing. Manarat can control 10 qubits with high accuracy and synchronizes multiple electronic boards with accuracy exceeding 100 picoseconds. TII claims Manarat is five times more cost-efficient than commercial alternatives. Why it matters: This development marks a step toward large-scale quantum computing in the UAE and establishes sovereign capabilities in quantum technologies.

Mubeen AI: A Specialized Arabic Language Model for Heritage Preservation and User Intent Understanding

arXiv ·

MASARAT SA has developed Mubeen, a proprietary Arabic language model specializing in Arabic linguistics, Islamic studies, and cultural heritage. Mubeen was trained using native Arabic sources, including digitized historical manuscripts processed via a proprietary Arabic OCR engine. The model employs a Practical Closure Architecture to improve user intent understanding and provide decisive guidance. Why it matters: Mubeen addresses the utility gap in current Arabic LLMs by focusing on native Arabic data and cultural authenticity, which is critical for heritage preservation and alignment with Saudi Vision 2030.

A 'silver bullet' awakening

KAUST ·

Mani Sarathy, an associate professor of chemical engineering, has been appointed Associate Director of the Clean Combustion Research Center (CCRC) at KAUST. Sarathy is part of the University’s Physical Science and Engineering Division. The announcement did not detail specific research directions. Why it matters: This signals KAUST's continued investment in and focus on clean combustion research.

AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic

arXiv ·

The paper introduces AraTrust, a new benchmark for evaluating the trustworthiness of LLMs when prompted in Arabic. The benchmark contains 522 multiple-choice questions covering dimensions like truthfulness, ethics, safety, and fairness. Experiments using AraTrust showed that GPT-4 performed the best, while open-source models like AceGPT 7B and Jais 13B had lower scores. Why it matters: This benchmark addresses a critical gap in evaluating LLMs for Arabic, which is essential for ensuring the safe and ethical deployment of AI in the Arab world.