MBZUAI, Petuum, and LLM360 have launched K2-65B, an open-source 65B parameter LLM, trained on 1.4T tokens using 480 A100 GPUs. K2-65B outperforms Llama 2 70B while using 35% fewer resources, emphasizing sustainable AI development. The model and its chat variant, K2-Chat, excel in math, coding, medicine, and human-like response generation, with the model available under the Apache 2.0 license. Why it matters: This launch highlights the UAE's increasing capabilities in developing efficient and high-performing LLMs, promoting open-source collaboration and setting new standards for sustainable AI practices in the region.
KAUST researchers collaborated with the Paris Observatory and the National Astronomical Observatory of Japan (NAOJ) to develop advanced Extreme-AO algorithms for habitable exoplanet imaging. The new algorithms, powered by KAUST's linear algebra code running on NVIDIA GPUs, optimize and anticipate atmospheric disturbances. The implemented Singular Value Decomposition (SVD) algorithm won an award at the PASC Conference 2018 and is used at the Subaru Telescope in Hawaii. Why it matters: This advancement enhances the ability to image exoplanets, potentially leading to breakthroughs in the search for habitable planets using ground-based telescopes.
KAUST researchers developed a machine learning algorithm to control a deformable mirror within the Subaru Telescope's exoplanet imaging camera, compensating for atmospheric turbulence. The algorithm, which computes a partial singular value decomposition (SVD), outperforms a standard SVD by a factor of four. The KAUST team received a best paper award at the PASC Conference for this work, which has already been deployed at the Subaru Telescope. Why it matters: This advancement enables sharper images of exoplanets, facilitating their identification and study, and showcases the impact of optimizing core linear algebra algorithms.
KAUST researchers have discovered biological clues in the Wahbah Crater in Saudi Arabia that could provide insights into the possibility of life on Enceladus, one of Saturn's moons. The researchers isolated 48 bacterial strains from the crater, identifying two with an adaptability suitable for the extreme environment of Enceladus. These strains thrive in high temperatures, salinity, and alkaline pH levels, mimicking conditions on the Saturn moon. Why it matters: This study highlights the potential of Saudi Arabia's extreme environments as valuable models for detecting extraterrestrial life and strengthens the country's growing interest in space exploration.
Planetary scientist Carolyn Porco, who led the imaging science team for the Cassini mission to Saturn, was a keynote speaker at KAUST's 2018 Winter Enrichment Program. Porco aimed to recreate the Pale Blue Dot photograph of Earth taken by Voyager 1. On July 19, 2013, Cassini's cameras captured another Pale Blue Dot image of Earth when Saturn eclipsed the Sun. Why it matters: The event fostered contemplation on Earth's place in the universe among the KAUST community.
KAUST research scientist Dr. Ram Karan won two awards at the International Congress of Extremophiles 2018 for his work on extremozymes from Red Sea brine pools. His research focuses on understanding how life is possible under extreme conditions using culture-independent methods to evaluate the structure and function of polyextremophilic enzymes. Crystal structure analysis provided insights into how enzymes adapt to extreme conditions. Why it matters: This research provides insights into the possibilities of life in extreme conditions and has implications for astrobiology.
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.
Three KAUST students, Mohammed Zidan, Joanna Nasser, and Stephanie Saade, were selected to attend the 65th Lindau Nobel Laureate Meeting in Germany. The meeting will host 65 Nobel Laureates and 650 young researchers in physiology, medicine, physics, and chemistry. The students look forward to the transfer of knowledge and networking opportunities with leading scientists. Why it matters: This recognition highlights KAUST's commitment to fostering young scientific talent and providing opportunities for them to engage with the global scientific community.