Bloober Team, it’s fair to say, is not everyone’s cup of tea. Some people like what they do quite a lot, and others, well, not so much. So when Konami announced the Silent Hill 2 remake in 2022, and that Bloober was making it, the reaction was not universally enthusiastic. In a new interview with Rolling Stone, Bloober Team CEO Piotr Babieno acknowledged the apprehension but said the studio has come a long way over the years and expressed hope that fans will “give us a chance” to prove what it can do.
Some of the concerns about the Silent Hill 2 remake are the result of Konami’s less-than-stellar record with the series in recent years. The Twitch Plays-style episodic series Silent Hill Ascension, for instance, was “a complete disaster” in the words of staff writer Harvey Randall, and so poorly written some viewers assumed it had to scripted by AI, even though the head of the production company responsible for it insisted that wasn’t the case.
Bloober Team itself, a…
ปีเมียนต้า เพิ่งนำ เซบีย่า เปิดรังเอาชนะ เรอัล บายาโดลิด 2-1 ในศึกลา ลีกา สเปน เมื่อวันอังคารที่ผ่านมา ทำให้ทีมเก็บชัยชนะนัดที่สองของฤดูกาลได้สำเร็จ
หลังจบเกมการแข่งขัน เซบีย่า ได้ประกาศยืนยันอย่างเป็นทางการว่ากุนซือ ฆาเบียร์ การ์เซีย ปีเมียนต้า เซ็นสัญญาฉบับใหม่กับสโมสรจนถึงปี 2027
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แบ็กขวาวัย 27 ปีย้ายจาก ลีดส์ ยูไนเต็ด ไปเล่นให้ อินทรีแดงดำ ด้วยสัญญายิมตัว โดยมีระยะเวลา 1 ฤดูกาล แต่ตอนนี้ คริสเตนเซ่น กลายเป็นกำลังหลักให้กับสโมสรมีชื่อบุนเดสลีกา
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The faux-Soviet shooter Atomic Heart comes out on February 21, which means that if you want to play, you have just under two weeks to get your PC in shape to make it happen. And now you have proper targets to aim for on that front, thanks to the detailed system requirements released today by developer Mundfish.
You can apparently get away with a pretty low-spec unit, according to these numbers, as long as you don’t mind putting up with what I’m sure would be a commensurately low-end experience. But even the high setting isn’t killer: It doesn’t offer the visual glory of 4K, but it doesn’t demand a 4K-capable system either.
Game director Robert Bagratuni told WCCF Tech that the rated FPS for each specification is the minimum players will get “during fierce battles in the most crowded locations,” and that in most locations it will be much higher. “For example, with the GeForce GTX 1650 graphical card, the players will get a minimum of 60FPS, while a maximum indicator in mo…
Take Genshin Impact, make it turn-based, and crank the anime dial up to 11 and you have Honkai: Star Rail, the next game from MiHoYo.
The free-to-play game just entered its final beta and the dates on its Apple App Store and Google Play Store page suggest it might release in April. The game’s final beta started on February 10, and over two million people have pre-registered (basically wishlisting) for the final game on PC and mobile.
Before MiHoYo made Genshin Impact, it was making Honkai, a Evangelion-inspired sci-fi action series in which Earth is stuck in a battle with a malevolent cosmic force of the same name. Honkai: Star Rail continues after Honkai 3rd and borrows a lot of the successful parts of Genshin Impact’s design.
You play as one of two main protagonists and explore planets with a crew of four characters. Each character has elemental attacks and plays a particular role within your team comp. It’s a gacha game, so building a strong team to face harder …
The benefits of AI can be debated. But one thing we’re all sure about is that massive server farms packed full of hundreds or thousands of high-end AI GPUs, each consuming hundreds of watts, soak up a lot of power. Right?
Not Jensen Huang, the CEO of Nvidia whose catchphrase has become “the more you buy, the more you save”, in reference to his company’s stratospherically expensive AI chips. Perhaps inevitably, Huang has a similar take when it comes to the power consumption associated with the latest AI models, which mostly run on Nvidia hardware.
Speaking in a Q&A following his Computex keynote, Huang’s point is firstly that Nvidia’s GPUs do computations much faster and more efficiently than any alternative. As he puts it, you want to “accelerate everything”. That saves you money, but it also saves you time and power.
Next, he distinguished between training AI models and inferencing them and how the latter can offer dramatically more efficient ways of getting c…