CD Projekt's 'Phantom Liberty' Rated Very Positive on Steam 

Karolina Kaluzynska, 28, plays CD Projekt's game Cyberpunk 2077 in Warsaw, Poland, December 14, 2020. (Reuters)
Karolina Kaluzynska, 28, plays CD Projekt's game Cyberpunk 2077 in Warsaw, Poland, December 14, 2020. (Reuters)
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CD Projekt's 'Phantom Liberty' Rated Very Positive on Steam 

Karolina Kaluzynska, 28, plays CD Projekt's game Cyberpunk 2077 in Warsaw, Poland, December 14, 2020. (Reuters)
Karolina Kaluzynska, 28, plays CD Projekt's game Cyberpunk 2077 in Warsaw, Poland, December 14, 2020. (Reuters)

"Phantom Liberty", the long-awaited expansion to Polish video game developer CD Projekt's flagship game "Cyberpunk 2077", had received a "very positive" rating on Steam platform based on 1,067 user reviews just few hours after game's launch on Tuesday.

Cyberpunk 2077, which is offered at a 40% discount, has led the top sellers chart on Steam platform since Monday, with Phantom Liberty in second place.

The release of Phantom Liberty is CD Projekt's first major game premiere since bug-ridden launch of Cyberpunk 2077 in December 2020.

The expansion was released on PC and current-generation consoles. It offers a spy-thriller adventure, featuring two film stars - Keanu Reeves, known from the base game, who is back in the role of Johnny Silverhand and Idris Elba, who is playing the completely new character of Agent Solomon Reed.

The price of the expansion had been set at 99 zlotys ($22.74) for all platforms.

Phantom Liberty's PC version scored 89 points on the Metacritic 100-point scale after 47 critic reviews, with PlayStation 5 version scoring 88 points based on 43 critic reviews and Xbox Series X|S version hitting 89 points based on 12 critic reviews.

"Phantom Liberty is Cyberpunk 2077 at its best. CD Projekt Red has taken the lessons from the original release and focused on the parts that mattered most to deliver a thrilling and impactful experience (...)", GameSpot, an American video gaming website, said in a review.

The expansion is the last project to be developed on CD Projekt's own technology RED Engine, with the company switching to external Unreal Engine for its upcoming developments, that include Cyberpunk sequel.



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.