Apple Supplier Foxconn Posts Surprise Rise in Quarterly Profit 

The Foxconn logo is seen in this illustration taken, May 2, 2023. (Reuters)
The Foxconn logo is seen in this illustration taken, May 2, 2023. (Reuters)
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Apple Supplier Foxconn Posts Surprise Rise in Quarterly Profit 

The Foxconn logo is seen in this illustration taken, May 2, 2023. (Reuters)
The Foxconn logo is seen in this illustration taken, May 2, 2023. (Reuters)

Apple Inc supplier Foxconn reported on Tuesday a surprise 11% increase in third-quarter profit, boosted by strong demand for smart consumer electronics ahead of the year-end holiday shopping season in Western markets.

The Taiwanese company, the world's largest contract electronics maker, said net profit for the July-September quarter rose to T$43.1 billion ($1.3 billion) from T$38.8 billion in the same period the previous year.

The profit beat a T$34.5 billion LSEG SmartEstimate, which gives greater weight to forecasts from analysts who are more consistently accurate.

Foxconn said revenue for the fourth quarter would slightly decline year on year, but did not give a reason and maintained its outlook for full-year revenue to also slightly decline.

The world's biggest assembler of iPhones said it expects revenue for its smart consumer electronics division, which includes smartphones, to also fall slightly in the fourth quarter. The division makes up about half of Foxconn's total revenue.



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.