Apple to Argue It Faces Competition in Video Game Market In Epic Lawsuit

FILE PHOTO: 3D printed Lady Justice figure is seen in front of displayed Apple and Epic Games logos in this illustration photo taken February 17, 2021. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: 3D printed Lady Justice figure is seen in front of displayed Apple and Epic Games logos in this illustration photo taken February 17, 2021. REUTERS/Dado Ruvic/Illustration/File Photo
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Apple to Argue It Faces Competition in Video Game Market In Epic Lawsuit

FILE PHOTO: 3D printed Lady Justice figure is seen in front of displayed Apple and Epic Games logos in this illustration photo taken February 17, 2021. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: 3D printed Lady Justice figure is seen in front of displayed Apple and Epic Games logos in this illustration photo taken February 17, 2021. REUTERS/Dado Ruvic/Illustration/File Photo

Apple Inc said it plans to argue that it faces abundant competition in the market for video game transactions to defend itself against antitrust allegations by “Fortnite” maker Epic Games, the iPhone maker said on Thursday.

Epic sued Apple last year in federal court in California, alleging the 15% to 30% commissions that Apple charges for the use of its in-app payment systems and Apple’s longstanding practice of exercising control over which apps can be installed on its devices amount to anticompetitive behavior. The dispute arose after Epic tried to implement its own in-app payment system in the popular “Fortnite” game and Apple subsequently banned the game from its App Store, Reuters reported.

The case is to be heard in May in Oakland, California, by US District Judge Yvonne Gonzalez Rogers, who will have to rule on which notion of a “market” is the correct one for analyzing Apple’s moves for signs of anticompetitive conduct.

Epic has framed its case around the idea that Apple’s iPhones, with an installed base of more than 1 billion users, represent their own distinct market for software developers. Epic has argued that Apple has monopoly power over that market because it decides how users can install software on the devices and says it abuses that power by forcing developers to deliver their software through the App Store, where developers are subject to fees on some transactions.

In a filing that Apple planned to make Thursday, the company rejected that notion and said the proper market to analyze the case is the video game transaction market, which includes platforms such as Nintendo Co Ltd and Microsoft Corp’s Xbox gaming consoles, which also limit the software that can run on their hardware and charge fees to developers.

Apple said it plans to argue that consumers have many choices on how to carry out video game transactions, including purchasing virtual tokens from game developers on other platforms such as Windows PCs and using the tokens on iPhones with no fees to the game developer.



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.