Skip to content
GCC AI Research

Search

Results for "Jysoo Lee"

Lee named to top HPCwire list

KAUST ·

Jysoo Lee, the facilities director of the KAUST Research Computing Core Labs, has been named one of HPCwire's "People to Watch 2018". Prior to KAUST, Lee was the director of the supercomputing center at the Korea Institute of Science and Technology Information and the founding director general of the National Institute of Supercomputing and Networking in Korea. Lee notes that Saudi Vision 2030 offers increased opportunities for the Core Labs. Why it matters: Recognition of KAUST leadership in HPC highlights the Kingdom's growing capabilities in advanced computing infrastructure.

Jysoo Lee honored for HPC leadership & contributions

KAUST ·

Jysoo Lee, Facilities Director of Research Computing Core Labs at KAUST, received the SCA HPC Leadership/Achievement Award at SupercomputingAsia 2022 in Singapore. The award recognizes Lee's leadership in developing South Korea's HPC community and advancing international cooperation. Lee led the legislation of the “National Supercomputing Promotion Act” and founded the National Institute of Supercomputing and Networking (NISN) in South Korea. Why it matters: This award highlights KAUST's role in attracting top global talent in HPC and showcases the increasing importance of supercomputing infrastructure in the region.

Building an HPC ecosystem

KAUST ·

This article discusses KAUST's efforts to build a high-performance computing (HPC) ecosystem. It mentions Jysoo Lee, director of the KAUST Supercomputing Core Lab, and Robert G. Voigt from the Krell Institute, both speakers at the HPC Saudi event held at KAUST. The article also acknowledges King Abdullah's role in establishing KAUST. Why it matters: HPC is crucial for advancing AI research and development in the region, and KAUST is playing a key role in fostering this ecosystem.

Chip Design and Manufacturing with AI

MBZUAI ·

This article discusses the application of AI in semiconductor chip design and manufacturing, with a focus on examples such as IR-drop estimation and lithography processes. It mentions Youngsoo Shin, a KAIST professor and founder of Baum, who is an expert in this area. The article also briefly mentions panel discussion hosted by MBZUAI. Why it matters: AI-driven chip design and manufacturing could accelerate semiconductor innovation in the GCC region and beyond.

KAUST Associate Professor Taous-Meriem Laleg-Kirati finalist at Leadership Excellence for Women Awards & Symposium

KAUST ·

KAUST Associate Professor Taous-Meriem Laleg-Kirati was a finalist in the academic of distinction category at the Leadership Excellence for Women Awards & Symposium (LEWAS) in Bahrain in 2018. She was nominated by former KAUST researchers for her achievements in science and engineering and her advocacy for women in science. Laleg-Kirati's research at KAUST focuses on control engineering and signal processing with applications in solar energy, water desalination, and biomedicine. Why it matters: The recognition highlights the importance of female leadership and contributions in STEM fields within the GCC region.

Peng Xiao and G42’s Expanding Influence in Global AI - AI Magazine

GCC AI Jobs ·

This article discusses Peng Xiao and G42's growing influence in the global AI landscape. It highlights G42's strategic partnerships and investments in AI infrastructure and applications. The article suggests that G42 is becoming a key player in shaping the future of AI, particularly in the Middle East. Why it matters: G42's expansion signifies the UAE's ambition to become a global AI hub and its increasing role in driving AI innovation and adoption worldwide.

Empowering Large Language Models with Reliable Reasoning

MBZUAI ·

Liangming Pan from UCSB presented research on building reliable generative AI agents by integrating symbolic representations with LLMs. The neuro-symbolic strategy combines the flexibility of language models with precise knowledge representation and verifiable reasoning. The work covers Logic-LM, ProgramFC, and learning from automated feedback, aiming to address LLM limitations in complex reasoning tasks. Why it matters: Improving the reliability of LLMs is crucial for high-stakes applications in finance, medicine, and law within the region and globally.