US Bans Huawei, ZTE Equipment Sales, Citing National Security Risk

Letterings that form the name of Chinese smartphone and telecoms equipment maker Huawei are seen during Huawei Connect in Shanghai, China, Sept. 23, 2020. (Reuters)
Letterings that form the name of Chinese smartphone and telecoms equipment maker Huawei are seen during Huawei Connect in Shanghai, China, Sept. 23, 2020. (Reuters)
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US Bans Huawei, ZTE Equipment Sales, Citing National Security Risk

Letterings that form the name of Chinese smartphone and telecoms equipment maker Huawei are seen during Huawei Connect in Shanghai, China, Sept. 23, 2020. (Reuters)
Letterings that form the name of Chinese smartphone and telecoms equipment maker Huawei are seen during Huawei Connect in Shanghai, China, Sept. 23, 2020. (Reuters)

The Biden administration has banned approvals of new telecommunications equipment from China's Huawei Technologies and ZTE because they pose "an unacceptable risk" to US national security. 

The US Federal Communications Commission said on Friday it had adopted the final rules, which also bar the sale or import of equipment made by Chinese surveillance equipment maker Dahua Technology Co, video surveillance firm Hangzhou Hikvision Digital Technology Co Ltd and telecoms firm Hytera Communications Corp Ltd. 

The move represents Washington's latest crackdown on the Chinese tech giants amid fears that Beijing could use them to spy on Americans. 

"These new rules are an important part of our ongoing actions to protect the American people from national security threats involving telecommunications," FCC Chairwoman Jessica Rosenworcel said in a statement. 

Huawei declined to comment. ZTE, Dahua, Hytera and the Chinese embassy in Washington did not immediately respond to requests for comment. 

Hikvision said in a statement that its products don't threaten US security. 

"This decision by the FCC will do nothing to protect US national security, but will do a great deal to make it more harmful and more expensive for US small businesses, local authorities, school districts, and individual consumers to protect themselves, their homes, businesses and property," Hikvision said, adding that it will continue to serve US customers "in full compliance" with US regulations. 

Rosenworcel circulated the proposed measure, which effectively bars the firms from selling new equipment in the United States, to the other three commissioners for final approval last month. 

The FCC said in June 2021 it was considering banning all equipment authorizations for all companies on the covered list. 

That came after a March 2021 designation of five Chinese companies on the so-called "covered list" as posing a threat to national security under a 2019 law aimed at protecting US communications networks: Huawei, ZTE, Hytera Communications Corp Hikvision and Dahua. 

All four commissioners at the agency, including two Republicans and two Democrats, supported Friday's move. The agency said it has authority to revoke prior authorizations, but declined to do so. 



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.