South Korea's Lunar Orbiter Sends Photos of Earth, Moon

South Korea's first-ever lunar orbiter Danuri has sent black-and-white images of Earth and the lunar surface, including this photo taken on December 31, 2022. Handout / KARI/AFP
South Korea's first-ever lunar orbiter Danuri has sent black-and-white images of Earth and the lunar surface, including this photo taken on December 31, 2022. Handout / KARI/AFP
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South Korea's Lunar Orbiter Sends Photos of Earth, Moon

South Korea's first-ever lunar orbiter Danuri has sent black-and-white images of Earth and the lunar surface, including this photo taken on December 31, 2022. Handout / KARI/AFP
South Korea's first-ever lunar orbiter Danuri has sent black-and-white images of Earth and the lunar surface, including this photo taken on December 31, 2022. Handout / KARI/AFP

South Korea's first-ever lunar orbiter Danuri has sent black-and-white photos of the Moon's surface and Earth, the national space center said Tuesday.

Danuri -- a portmanteau of the Korean words for "Moon" and "enjoy" -- was launched on a SpaceX rocket from the United States in August 2022 and entered lunar orbit last month, The Associated Press said.

Its images -- taken between December 24 and January 1 -- show the lunar surface and Earth, and were shot from less than 120 kilometers (75 miles) over the Moon, the Korea Aerospace Research Institute (KARI) said in a statement.

The images and videos will be "used to select potential sites for a Moon landing in 2032," it added.

Danuri is circling the Moon every two hours, the center said.

The orbiter will begin its scientific mission next month, which includes mapping and analyzing lunar terrain, and measuring magnetic strength and gamma rays.

It will also test experimental "space internet" technology by transmitting photos and videos to Earth.

President Yoon Suk-yeol has hailed Danuri's achievements as a "historical moment" in the country's space program.

South Korea has laid out ambitious plans for outer space, including landing spacecraft on the Moon by 2032 and Mars by 2045.



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.