Google Scores Partial Victory in Android Antitrust Case in India

The logo of Google LLC is seen at a Google Store in New York City, US, January 20, 2023. (Reuters)
The logo of Google LLC is seen at a Google Store in New York City, US, January 20, 2023. (Reuters)
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Google Scores Partial Victory in Android Antitrust Case in India

The logo of Google LLC is seen at a Google Store in New York City, US, January 20, 2023. (Reuters)
The logo of Google LLC is seen at a Google Store in New York City, US, January 20, 2023. (Reuters)

An Indian tribunal on Wednesday gave partial relief to Alphabet Inc's Google by setting aside four of 10 antitrust directives in a case related to abuse of its dominant position in Android.

The Competition Commission of India (CCI) said in October that Google had exploited its dominant position in Android and told it to remove restrictions imposed on device makers, including related to pre-installation of apps. It also fined Google $161 million.

An Indian appeals tribunal on Wednesday said CCI's findings of Google's anti-competitive conduct were correct and the company was also liable to pay the fine, but it quashed four of the 10 antitrust remedies that had been imposed on Google to change its business model.

Among the reliefs, Google will now not need to allow hosting of third-party app stores inside Play Store, as had been previously ordered by the CCI.

The move will come as some relief for Google after India's Supreme Court in January refused to suspend any of the antitrust remedies ordered last year. The top court had asked the tribunal to hear the case on merit and rule by March end.

Google has been concerned about India's Android decision as the directives were seen as more sweeping than those imposed in the European Commission's landmark 2018 ruling against the operating system.

It has said "no other jurisdiction has ever asked for such far-reaching changes", and repeatedly argued that the growth of its Android ecosystem will stall in India due to the decision.



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.