Tomb Raider Games Firm Embracer Tumbles After Partnership Talks Collapse 

Embracer Group's computer games are seen in Karlstad, Sweden March 8, 2021. (Reuters)  
Embracer Group's computer games are seen in Karlstad, Sweden March 8, 2021. (Reuters)  
TT

Tomb Raider Games Firm Embracer Tumbles After Partnership Talks Collapse 

Embracer Group's computer games are seen in Karlstad, Sweden March 8, 2021. (Reuters)  
Embracer Group's computer games are seen in Karlstad, Sweden March 8, 2021. (Reuters)  

Swedish games group Embracer on Wednesday said a large planned strategic partnership had fallen through unexpectedly and that it had lowered its profit guidance, sending shares into a tailspin.

The developer, which last year bought several development studios and the intellectual property rights to a number of games including a new Tomb Raider game, said the deal would have "set a new benchmark for the gaming industry".

"Late last night, we were informed that one major strategic partnership that has been negotiated for seven months will not materialize," it said in a statement.

The deal being negotiated included more than $2 billion in contracted development revenue over six years, it said.

"The deal would have enabled a catch-up payment at closing for already capitalized costs for a range of large-budget games, but also notably improved medium-to-long-term profit and cash flow predictability for the duration of the game development projects."

Shares in Embracer were down 40% at 0753 GMT, hitting an all-time low, with analysts saying the drop was due to the news of the deal as well as the lowered outlook.

Hit by game delays, weaker demand, and "lackluster" reception for some new games, Embracer on Wednesday reported a fiscal full-year adjusted operating profit of 915 million crowns ($90.1 million), roughly matching a profit warning issued last week.

It said that on top of the partnership deal falling through, it had had to postpone planned releases of a number of games under development, cutting as a result its adjusted profit forecast for the current year to 7-9 billion crowns, from 10-14 billion seen previously.

Embracer declined to say who the potential partner was.



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
TT

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.