China Launches New Homegrown Supercomputer

People walk past a building with a Christmas decoration in Beijing, China December 4, 2023. REUTERS/Tingshu Wang
People walk past a building with a Christmas decoration in Beijing, China December 4, 2023. REUTERS/Tingshu Wang
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China Launches New Homegrown Supercomputer

People walk past a building with a Christmas decoration in Beijing, China December 4, 2023. REUTERS/Tingshu Wang
People walk past a building with a Christmas decoration in Beijing, China December 4, 2023. REUTERS/Tingshu Wang

China unveiled a new domestically developed supercomputing system on Wednesday that state news agency Xinhua said was many times more powerful than a previous version. The supercomputing system called "Tianhe Xingyi", was unveiled by the National Supercomputing Center in Guangzhou, at an industry event in the capital of southern China's Guangdong Province, Xinhua said.
Xinhua did not give more details on the new system's computing power.
But the report cited Lu Yutong, director of the center, as saying that the new computer used domestically designed architecture and has outperformed Tianhe-2, one of China's fastest supercomputers, in capacities such as CPU computing power, networking, storage, and applications.
Tianhe-2 is being developed by the National University of Defense Technology (NUDT) and is hosted at the National Supercomputing Center in Guangzhou, Reuters reported.
Tianhe-2 topped a list of the world's 500 fastest systems for three consecutive years from 2013 but dropped out of the top position in 2016, the year after the US government placed the NUDT on a blacklist that eliminated the university's access to the Intel processors it uses in its supercomputers.
Other prominent Chinese supercomputing systems include Sunway TaihuLight, developed by the National Supercomputing Center in Wuxi, which ranked seventh on the June 2023 list while Tianhe-2 placed tenth.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.