Astronauts Face Final Leg of SpaceX Test Flight: Coming Home

Astronauts Robert Behnken and Douglas Hurley. (NASA)
Astronauts Robert Behnken and Douglas Hurley. (NASA)
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Astronauts Face Final Leg of SpaceX Test Flight: Coming Home

Astronauts Robert Behnken and Douglas Hurley. (NASA)
Astronauts Robert Behnken and Douglas Hurley. (NASA)

A pair of NASA astronauts face the final and most important part of their SpaceX test flight: returning to Earth with a rare splashdown.

Doug Hurley and Bob Behnken took part in a farewell ceremony Saturday at the International Space Station, several hours ahead of their planned departure on a SpaceX Dragon capsule.

Despite approaching Hurricane Isaias, NASA said the weather looks favorable for a Sunday afternoon splashdown in the Gulf of Mexico near Panama City, Florida. It will be the first splashdown for astronauts in 45 years. The last time was following the joint US-Soviet mission in 1975 known as Apollo-Soyuz.

The astronauts' homecoming will cap a two-month mission that ended a prolonged launch drought in the US, which has relied on Russian rockets to ferry astronauts to the space station since the end of the shuttle era.

In launching Hurley and Behnken from NASA's Kennedy Space Center on May 30, SpaceX became the first private company to send people into orbit. Now SpaceX is on the verge of becoming the first company to bring people back from orbit.

“The hardest part was getting us launched, but the most important is bringing us home,” Behnken said.

A successful splashdown, Behnken said, will bring US-crew launching capability “full circle.”

Space station commander Chris Cassidy, who will remain on board with two Russians until October, presented Hurley with the small US flag left behind by the previous astronauts to launch to the space station from US soil, in July 2011. Hurley was the pilot of that final shuttle mission.

The flag — which also flew on the first shuttle flight in 1981 — became a prize for the company that launched astronauts first.

Elon Musk's SpaceX easily beat Boeing, which isn't expected to launch its first crew until next year and will land in the US Southwest. The flag has one more flight after this one: to the moon on NASA’s Artemis program in the next few years.

“We’re a little sad to see them go," Cassidy said, “but very excited for what it means to our international space program to add this capability” of commercial crew capsules. The next SpaceX crew flight is targeted for the end of September.

Hurley and Behnken also are bringing back a sparkly blue and purple dinosaur named Tremor. Their young sons chose the toy to accompany their fathers on the historic mission.



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.