Türkiye Moves against Meta over Threads-Instagram Data Sharing

FILE PHOTO: Meta and Facebook logos are seen in this illustration taken February 15, 2022. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: Meta and Facebook logos are seen in this illustration taken February 15, 2022. REUTERS/Dado Ruvic/Illustration/File Photo
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Türkiye Moves against Meta over Threads-Instagram Data Sharing

FILE PHOTO: Meta and Facebook logos are seen in this illustration taken February 15, 2022. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: Meta and Facebook logos are seen in this illustration taken February 15, 2022. REUTERS/Dado Ruvic/Illustration/File Photo

Türkiye's competition authority imposed on Monday an interim measure on Meta Platforms Inc meant to hinder data sharing between the Instagram and Threads platforms as it investigates possible abuse of the company's dominant market position.
In December, the authority launched an investigation into Facebook parent Meta over a possible violation of competition law by linking its social media platforms Instagram and the newer Threads.
The authority said the interim measure would remain in place until a final decision is made, since the data obtained and merged through these two apps could "violate competition law and cause irreparable damage" in the market.
Separately, the Turkish authority fined Meta 4.8 million lira ($148,000) daily as part of a
separate investigation over a notification message that the company sends users about the sharing of data.
The notification about data sharing between the company's Facebook, Instagram and WhatsApp services did not provide sufficient information and was not transparent enough, it said.
The user notification was also designed to guide users to approve data sharing which was not deemed sufficient to address anti-competition concerns, it added.
A Meta spokesperson did not immediately comment on the decisions.



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.