Added: 27.02.2015 16:09 | 5 views | 0 comments


This week in MMOGames' bi-weekly feature, Bels Blog Bonanza highlights some of the teresting topics currently cycling through the gaming blogosphere like the controversial Peter Molyneux interview, the hype for Crowfall, FFXIV's Patch 2.51, WoW's 6.1 update, and more.

Added: 27.02.2015 16:09 | 4 views | 0 comments


USA Hardware by Platform 3DS 157,689 (+448%) 14,632,776 PS4 61,992 (+12%) 7,147,579 XOne 56,380 (+12%) 6,511,393 WiiU 30,573 (+30%) 3,912,755 X360 17,438 (+16%) 44,405,509 PS3 13,395 (+13%) 26,652,706 PSV 5,196 (+11%) 2,061,044 USA Software: 1 The Legend of Zelda: Majora's Mask 3D (3DS) 2 Monster Hunter 4 Ultimate (3DS) 3 Evolve (XOne) 4 Evolve (PS4) 5 Grand Theft Auto V (PS4)

Added: 27.02.2015 14:09 | 2 views | 0 comments


The team at Above and Beyond technologies just keeps cranking out patches for The Repopulation. This will be the second patching being released in the month of February and it makes some significant changes to the combat system.

Added: 27.02.2015 10:11 | 2 views | 0 comments


Here are the notes for the February 26th roster update for NBA 2K15. All player movement, rotations, and injuries have been updated to reflect most recent games.

Added: 27.02.2015 5:09 | 7 views | 0 comments


February has well and truly been an exciting month in the world of Nintendo. Join the Nintendo Feed team as we cast our opinions across the releases of The Legend of Zelda: Majora's Mask 3D, Monster Hunter 4 Ultimate and more. Prepare for one truly packed podcast.

Added: 27.02.2015 5:08 | 4 views | 0 comments


Step into a dangerous fantasy world as you lead your heroes in two separate campaigns

Added: 26.02.2015 21:47 | 17 views | 0 comments


New Wii U & 3DS eShop releases for the week of February 26, 2015, include Donkey Kong Country series, Donkey Kong Land series, Ironfall Invasion, and more! Sales include TNT Racers, Aqua Moto Racing 3D, and more.

Added: 26.02.2015 21:22 | 8 views | 0 comments

Constantly looking for the next big leap in machine-learning, a Google project has set one of the most advanced AI in the world to playing video games. The project comes from DeepMind Technologies, a London-based start-up that Google purchased last year. Researchers showed the AI 49 games on the Atari 2600 and were told to play them without any additional instructions. The above video from the scientific journal Nature, which published an article detailing the project on February 26, shows some of the progress the AI made.

When the AI did well, it was rewarded, in much the same way people do when training a dog. Google’s system exceeded the skills of expert human players in 29 games and far surpassed previous records for AI in 43 of them.

Speaking to , vice president of engineering at Google and DeepMind co-founder Demis Hassabis said that this represents "the first time anyone has built a single learning system that learns directly from experience and manage a wide range of challenging tasks."

While it might seem a little odd to have one of the best artificial intelligence systems in the world grinding through older games, the experiment has some very practical applications. To learn anything, whether you’re an animal or a computer, you need to be able to adapt after making mistakes and predicting new outcomes to your choices. Old computer games are useful for this because their rules are very simple and failure is clear. AI isn’t anywhere near handling the more complex choices of three-dimensional games, shooters, or MOBAs for example, but if it can learn that going left at time X will always result in a loss, that’s easy for the system to understand.

"It's mastering and understanding the structure of these games, but we wouldn't say yet it's building conceptual knowledge or abstract knowledge," Demis says. "The ultimate goal here is to build smart, general-purpose machines, but we're many decades off from doing that."

Added: 26.02.2015 21:22 | 1 views | 0 comments

Constantly looking for the next big leap in machine-learning, a Google project has set one of the most advanced AI in the world to playing video games. The project comes from DeepMind Technologies, a London-based start-up that Google purchased last year. Researchers showed the AI 49 games on the Atari 2600 and were told to play them without any additional instructions. The above video from the scientific journal Nature, which published an article detailing the project on February 26, shows some of the progress the AI made.

When the AI did well, it was rewarded, in much the same way people do when training a dog. Google’s system exceeded the skills of expert human players in 29 games and far surpassed previous records for AI in 43 of them.

Speaking to , vice president of engineering at Google and DeepMind co-founder Demis Hassabis said that this represents "the first time anyone has built a single learning system that learns directly from experience and manage a wide range of challenging tasks."

While it might seem a little odd to have one of the best artificial intelligence systems in the world grinding through older games, the experiment has some very practical applications. To learn anything, whether you’re an animal or a computer, you need to be able to adapt after making mistakes and predicting new outcomes to your choices. Old computer games are useful for this because their rules are very simple and failure is clear. AI isn’t anywhere near handling the more complex choices of three-dimensional games, shooters, or MOBAs for example, but if it can learn that going left at time X will always result in a loss, that’s easy for the system to understand.

"It's mastering and understanding the structure of these games, but we wouldn't say yet it's building conceptual knowledge or abstract knowledge," Demis says. "The ultimate goal here is to build smart, general-purpose machines, but we're many decades off from doing that."