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Report: Apple's India iPhone Output Hits $14 Bln

FILE PHOTO: Employee buses enter the Pegatron facility near Chennai, India, March 7, 2023. REUTERS/Praveen Paramasivam/File Photo
FILE PHOTO: Employee buses enter the Pegatron facility near Chennai, India, March 7, 2023. REUTERS/Praveen Paramasivam/File Photo
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Report: Apple's India iPhone Output Hits $14 Bln

FILE PHOTO: Employee buses enter the Pegatron facility near Chennai, India, March 7, 2023. REUTERS/Praveen Paramasivam/File Photo
FILE PHOTO: Employee buses enter the Pegatron facility near Chennai, India, March 7, 2023. REUTERS/Praveen Paramasivam/File Photo

Apple Inc has assembled $14 billion worth of iPhones in India in fiscal 2024, Bloomberg News reported on Wednesday.
Apple now makes as much as 14% or about 1 in 7 of its marquee devices from India, the report said, citing people familiar with the matter.
Foxconn assembled nearly 67% while Pegatron Corp made about 17% of the India-made iPhones, the Bloomberg report added. Wistron Corp's plant in the southern Indian state of Karnataka, which the Tata Group took over last year, made the remaining.
Apple did not immediately respond to a Reuters request for comment.
Apple is increasingly looking to diversify its supply chain beyond China amid geopolitical tensions between Beijing and Washington, even as China remains the largest iPhone-making hub in the world.
Reuters reported on Monday that Pegatron is in advanced talks to hand over control of its only iPhone manufacturing facility, located near Chennai in the southern state of Tamil Nadu, to the Tata Group.
The Indian consumer goods conglomerate is also building another plant in Hosur in Tamil Nadu, with Pegatron likely to emerge as its joint venture partner.

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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
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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.