Google Brings Cellular Service to Puerto Rico Using Balloons

FILE PHOTO - The Google logo is pictured atop an office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Picture
FILE PHOTO - The Google logo is pictured atop an office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Picture
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Google Brings Cellular Service to Puerto Rico Using Balloons

FILE PHOTO - The Google logo is pictured atop an office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Picture
FILE PHOTO - The Google logo is pictured atop an office building in Irvine, California, U.S. August 7, 2017. REUTERS/Mike Blake/File Picture

The US Federal Communications Commission (FCC) announced it had granted Alphabet Inc. the green light to use solar power balloons to bring cellular service to Puerto Rico, which has struggled to regain communications services since Hurricane Maria hit last month.

The FCC said on Friday that 83 percent of cell sites remain out of service, while wireless communications company are deploying temporary sites.

"FCC issues experimental license to Google to provide emergency cellular service in Puerto Rico through Project Loon balloons," Matthew Berry, chief of staff to FCC Chairman Ajit Pai, stated on Twitter.

Pai said on Friday he was was forming a Hurricane Recovery Task Force focused on addressing challenges facing Puerto Rico and the US Virgin Islands

“It is critical that we adopt a coordinated and comprehensive approach to support the rebuilding of communications infrastructure and restoration of communications services. The Hurricane Recovery Task Force will allow us to do just that," Pai also said.

Musk, the chief executive of Tesla Inc, said on Friday the company would send more battery installers to Puerto Rico to help restore power after Hurricane Maria knocked out all power on the island over two weeks ago, Reuters reported.

Tesla had previously said, in late September, that it was sending to Puerto Rico hundreds of batteries that can rely on solar panels to store power which provides emergency aid in the wake of Hurricane Maria.



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.