Chinese Smartphone Maker Xiaomi’s Revenue and Profit Slides

This photograph shows the Xiaomi logo at the Mobile World Congress (MWC), the telecom industry's biggest annual gathering, in Barcelona on February 27, 2023. (AFP)
This photograph shows the Xiaomi logo at the Mobile World Congress (MWC), the telecom industry's biggest annual gathering, in Barcelona on February 27, 2023. (AFP)
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Chinese Smartphone Maker Xiaomi’s Revenue and Profit Slides

This photograph shows the Xiaomi logo at the Mobile World Congress (MWC), the telecom industry's biggest annual gathering, in Barcelona on February 27, 2023. (AFP)
This photograph shows the Xiaomi logo at the Mobile World Congress (MWC), the telecom industry's biggest annual gathering, in Barcelona on February 27, 2023. (AFP)

Chinese smartphone maker Xiaomi Corp on Friday reported a record drop in fourth-quarter revenue as the company weathered a slowdown in consumption and disruptions due to China's COVID-19 curbs.

Sales in the fourth quarter of 2022 reached 66.05 billion yuan ($9.6 billion), down 22.8% from 85.58 billion yuan a year earlier.

The numbers were slightly ahead of analyst expectations, but they mark the fourth consecutive revenue drop for the company, and its steepest on record yet.

Net income fell to 1.46 billion over the period, down 67.3% from 4.473 billion yuan a year earlier.

The company's revenue for 2022 was 280.04 billion yuan, a drop of 14.7%, while net income came in at 8.52 billion yuan, down 61.4%. Both figures fell short of analyst expectations.

Overall consumption in China dragged on most product categories in the fourth quarter, as the abrupt lifting of strict COVID-19 curbs led to a rapid spread in infections across the country.

All major smartphone brands experienced a sales slump in China over the period, based on research firm Canalys. Xiaomi, however, took the largest hit with shipments dropping 37% year on year, the Canalys data showed.



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.