Skip to content
GCC AI Research

Search

Results for "Scimagine"

A platform for material scientists

KAUST ·

Scimagine is a KAUST-based startup that provides a cloud-based platform for managing and storing experimental data for material scientists. The platform allows researchers to store, manage, and share their data, as well as create scientific visuals. It addresses the problem of experimental data being hidden in PDF files and not easily searchable. Why it matters: This platform improves data accessibility and collaboration in materials science research, potentially accelerating discovery and innovation in the field.

The garden of science

KAUST ·

KAUST research photographer Anastasia Khrenova designed a scientific art display for the 2018 Winter Enrichment Program (WEP). The "Visualizing the Human Machine Future" exhibition showcased photographs and scientific illustrations from KAUST laboratories. The exhibit aimed to communicate science nonverbally and provide viewers with a glimpse into the university's research activities. Why it matters: Such initiatives help promote scientific research to the public and attract potential researchers to KAUST, fostering a greater understanding and appreciation of scientific endeavors in the region.

KFAS to launch Science Month - Kuwait Times

Kuwait AI ·

The Kuwait Foundation for the Advancement of Sciences (KFAS) is preparing to launch its annual 'Science Month' initiative. This program aims to boost scientific awareness and encourage public engagement with science and technology across Kuwait. The month-long event is expected to feature various activities and educational programs for a broad audience. Why it matters: Initiatives like Science Month are crucial for cultivating a robust scientific culture and inspiring future generations in STEM fields, which are foundational for advanced technological development, including AI, in the region.

Science: The language of modern life

KAUST ·

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.

Award-winning algorithm takes search for habitable planets to the next level

KAUST ·

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.

The big question: Advice for new students from Dean Magistretti

KAUST ·

KAUST's Dean of Biological and Environmental Science and Engineering, Prof. Pierre Magistretti, advised new students to focus on "big questions" in science. He emphasized curiosity, passion, and balancing self-criticism with confidence as guiding principles. Magistretti encouraged students to question existing paradigms and embrace uncertainty in their research. Why it matters: This guidance from a KAUST leader highlights the institution's focus on fostering innovative and impactful research among its students, which can contribute to advancements in science and technology in the region.

KAUST and IMC sign MoU to strengthen collaboration in medical AI research

KAUST ·

KAUST and the International Medical Center (IMC) have signed an MoU to collaborate on medical research related to wellness, quality of life, and population health management. The partnership aims to develop AI applications for diagnosis and treatment, along with research in precision medicine and advanced therapies. The collaboration aligns with Saudi Vision 2030's goals to build a sustainable, knowledge-driven healthcare future. Why it matters: This agreement signifies a push to integrate AI and precision medicine into practical medical solutions within the Saudi healthcare system.