Tencent Finds New Hit in ‘Dungeon and Fighter’ Mobile Game After Dry Spell 

The Tencent Games logo is seen on its game on a mobile phone in this illustration picture taken March 19, 2024. (Reuters) 
The Tencent Games logo is seen on its game on a mobile phone in this illustration picture taken March 19, 2024. (Reuters) 
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Tencent Finds New Hit in ‘Dungeon and Fighter’ Mobile Game After Dry Spell 

The Tencent Games logo is seen on its game on a mobile phone in this illustration picture taken March 19, 2024. (Reuters) 
The Tencent Games logo is seen on its game on a mobile phone in this illustration picture taken March 19, 2024. (Reuters) 

Chinese internet giant Tencent Holdings' mobile game "Dungeon and Fighter" was the top-selling app on Apple's App Store in China this week, surpassing the company's existing flagship games after it spent years looking for a new marquee title.

The side-scrolling action game, developed by South Korea's Nexon and published by Tencent, became the top-selling app in China hours after it was launched on May 21 and it has stayed there since, according to app tracking platform Appmagic.

Tencent's "Honor of Kings" and "Peacekeeper Elites" have long been China's most popular games but they have recently shown signs of declining revenue as their popularity ebbed.

Globally, "Dungeon and Fighter" mobile ranked as the world's second top-selling app last week, only behind short video platform TikTok and ahead of Honor of Kings and YouTube, which came in third and fourth, according to Appmagic.

The video game is estimated to have earned more than $40 million in revenue on Apple devices after receiving over 2.4 million downloads, according to Appmagic.

Robin Zhu, senior analyst at Bernstein, said that Appmagic's number aligns with data recorded by another app tracking firm called Sensor Tower.

But he said that the game actually makes more money because the $40 million figure was only Tencent's and Nexon's cut, excluding Apple's share of the revenue.

"Gross billings-wise, the Sensor Tower data suggests you're looking at 1.2 to 1.5 billion yuan ($206.95 million) of receipts since launch," he said. Gross billing refers to the gross amount that users have spent on the game.

He said that "Dungeon and Fighter" mobile's strong performance is on track to meet Nexon's expectation of 3 billion yuan in gross billings during the game's first month of launch.

Officially named "Dungeon and Fighter: Origin", the game is a mobile adaptation of the "Dungeon and Fighter" computer game, one of the world's most profitable computer games which Tencent also publishes.

The game, under development for seven years, was released in South Korea in 2022 and became an instant hit. But its China release was delayed after the government cracked down on the gaming industry between 2018 and 2022.



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.