KAUST adopted an Open Access policy to make scholarly articles by its researchers publicly available. Planning for the policy began in 2012, with the final version implemented on June 30th after multiple committee meetings. KAUST representatives presented their efforts at the Sharjah International Book Fair, leading to increased interest from other regional universities. Why it matters: This policy promotes wider dissemination of KAUST's research, potentially boosting its visibility and impact in the region.
IFM has released K2-V2, a 70B-class LLM that takes a "360-open" approach by making its weights, data, training details, checkpoints, and fine-tuning recipes publicly available. K2-V2 matches leading open-weight model performance while offering full transparency, contrasting with proprietary and semi-open Chinese models. Independent evaluations show K2 as a high-performance, fully open-source alternative in the AI landscape. Why it matters: K2-V2 provides developers with a transparent and reproducible foundation model, fostering trust and enabling customization without sacrificing performance, which is crucial for sensitive applications in the region.
KAUST researchers have made several advances, including a new computational model of the Red Sea's ocean circulation. They also synthesized new metal-organic frameworks for gas storage with applications in green and medical tech. Additionally, they presented a mathematical solution for microgrid cybersecurity. Why it matters: These diverse research projects highlight KAUST's contributions to environmental modeling, materials science, and critical infrastructure protection in the region.
KAUST is joining universities worldwide to expedite licensing for COVID-19 related technologies. KAUST researchers are focusing on developing rapid diagnostic platforms, genomic analyses, and tools to track the virus's spread, collaborating with Saudi healthcare stakeholders. By signing the AUTM COVID-19 Licensing Guidelines and adopting the COVID-19 Technology Development Framework, KAUST will offer royalty-free, time-limited, non-exclusive licenses during and after the pandemic. Why it matters: This initiative facilitates quicker development and broader access to essential technologies for combating COVID-19 in Saudi Arabia and the Middle East.
KAUST's Technology Transfer and Innovation (TTI) department has facilitated the release of KUBE, an open-source benchmarking framework developed by Craig Kapfer and his team. KUBE allows users to analyze the performance of software applications and high-performance computing (HPC) systems over time, using user-defined metrics. The software integrates with batch scheduling tools and provides historical time reporting and visualization capabilities. Why it matters: This release provides a valuable tool for optimizing applications and systems, potentially enhancing research and development in computational labs and computing centers in Saudi Arabia and beyond.
MBZUAI's Institute of Foundation Models has released K2, a 70-billion-parameter, reasoning-centric foundation model. K2 is designed to be fully inspectable, with open weights, training code, data composition, mid-training checkpoints, and evaluation harnesses. K2 outperforms Qwen2.5-72B and approaches the performance of Qwen3-235B. Why it matters: This release promotes transparency and reproducibility in AI development, providing researchers with the resources needed to study, adapt, and build upon a strong foundation model.
KAUST researchers published a roadmap in Science for commercializing perovskite/silicon tandem solar cells, combining efficient light absorption with long-term stability. The roadmap addresses key challenges like real-world condition variability via geographical testing, accelerated stability testing, and high material costs. The researchers propose paradigms for both monolithic and mechanically stacked tandem production lines to identify cost-reduction opportunities. Why it matters: This work paves the way for affordable, accessible clean energy in Saudi Arabia and the world, with the market for perovskite/silicon tandems expected to exceed $10 billion within a decade.
The Technology Innovation Institute (TII) in Abu Dhabi has launched the Falcon Foundation, a non-profit dedicated to advancing open-source generative AI models. TII is committing $300 million to fund open-source AI projects, beginning with its Falcon AI models. The foundation aims to foster collaboration among stakeholders, developers, academia, and industry to promote transparent governance and knowledge exchange in AI. Why it matters: This initiative signals the UAE's commitment to leading in AI development through open-source innovation and collaboration, potentially accelerating AI adoption and customization across various sectors.