![]() ![]() Several of those related to win-loss predictions used machine learning and deep learning. Among the numerous win-loss predictive game studies, more have been conducted on the StarCraft series of games than on any other game. The machine learning and deep learning algorithms were tailored to find the relationship between various information in various games, including the StarCraft series. Recently, several studies have applied machine learning and deep learning algorithms to various games. Because MOBA games like League of Legends are not time limited, the number of game situations is almost infinite. Several battles are waged according to each champion’s and each team’s strategy, and the game results are determined through these battles. Various situations occur, depending on the gold and other items collected by each champion, points for experience, and the players’ skill levels. In it, each player chooses one champion from over the 100 champions available, and 10 champions can be played in any one game. ![]() The League of Legends poses the same difficulty. Moreover, real-time strategy games like StarCraft are not limited to game playtime, making the total number of cases in one game almost infinite. At a certain point in time, gamers can choose one from a variety of options, including harvesting resources, attacking, building buildings, and scouting. For example, in StarCraft, information concerning units, buildings, and resources exists, but how this information is combined and presented hinges on a gamer’s actions. The accurate extraction of key game situations requires an analysis of the interaction of in-game information, which is difficult because of both the sheer volume of information as well as the large number of ways it can be combined. However, accurately extracting key game situations can be challenging. By addressing this issue, viewers of game broadcasts can satisfy their curiosity about a player’s winning or losing, and gamers can improve their skills and heighten their awareness of the importance of creating and employing their own strategies as well as apprehending those of their opponents. Extracting key game situations means using in-game information to derive important situations based on forecasting the probability of a win or a loss. In accompaniment with this growth, the problem of extracting key game situations has become an important research topic. Similarly, the number of people employed in e-sports, such as professional gamers, commentators, and coaching staff, continues to increase. Numerous competitions related to these games are held and broadcast. ![]() Real-time strategy games such as StarCraft, StarCraft Ⅱ, and MOBA games such as League of Legends and Dota 2 are leading the growth of the gaming industry. Various genres such as real-time strategy games, first-person shooter games (FPS), role-playing games (RPG), and multiplayer online battle arenas (MOBA) have proven especially popular. The gaming industry has grown to such an extent in popularity that one segment of it has been recognized as a new competition category, e-sports. We verified the usefulness of our methodology on a 3D-ResNet with a gradient class activation map linked to a StarCraft Ⅱ replay dataset. We then proved that the proposed method outperforms by comparing 2D-residual networks (2D-ResNet) using only one time-point information and 3D-ResNet with multiple time-point information. Second, we used gradient-weighted class activation mapping to extract information defining the key situations that significantly influenced the outcomes of the game. First, we trained a result prediction model using 3D-residual networks (3D-ResNet) and replay data to improve prediction performance by utilizing in-game spatiotemporal information. We used replay data from StarCraft Ⅱ that is similar to video data providing continuous multiple images. In this study, we propose a methodology to predict outcomes and to identify information about the turning points that determine outcomes in StarCraft Ⅱ, one of the most popular real-time strategy games. However, previous studies have mainly focused on predicting game results. The creation of winning strategies requires accurately analyzing previous games therefore, it is important to be able to identify the key situations that determined the outcomes of those games. In real-time strategy games, players collect resources, control various units, and create strategies to win. ![]()
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Having found myself in a bit of a streaming rut last month, I finally heeded the recommendations to watch Bad Sisters on Apple TV+. The wall in front of us held a neon sign that read Eat Sleep Crypto Repeat and a large chalkboard with an illustration of an alien ship, complete with the caption We’re going to the moon. Someone at the table next to me, I noticed, had a Sharpie rendering of the Bitcoin logo drawn on their thumbnail. A Brit who recently moved to Mexico tried to get me to open a Bitcoin wallet right then and there (I don’t own crypto), and a Mexican who worked at a crypto start-up asked what I, as a newcomer, thought were the biggest advantages and disadvantages of Bitcoin. That night’s conversation lasted about an hour and a half, during which the attendees collectively rolled their eyes at Sam Bankman-Fried for dirtying crypto’s reputation and used their iPhones to flip between Instagram, Twitter, and Bitcoin wallets. Salinas Pliego has a longstanding relationship with Mexican President Andrés Manuel López Obrador, and an attendee wanted to know whether he might be able to convert the president into a Bitcoiner. Salinas Pliego was a topic of conversation at the first meet-up I attended at Bitcoin Embassy Bar, which featured a lawyer, a consultant, and an economics professor debating whether Bitcoin could-and should-be regulated. In Latin America, she continued, “we have a deeply rooted tradition of making community … in person.” “All revolutions, all social movements, all of these kinds of systemic disruptions wouldn’t have been possible if a small minority hadn’t started to grow, grow, grow through community,” Ortiz told me. And among this community, gathering spaces and meet-ups are foundational. adults have invested in, traded, or used a cryptocurrency. ![]() A recent Pew survey found that 16 percent of U.S. But while it’s important to acknowledge the more pernicious elements of this ecosystem, it’s also not necessarily fair to use the loudest, most problematic voices to generalize about such a large group of people. The crypto community is often hostile to outsiders or critics, and online crypto discourse is known for its toxicity-it’s hard to imagine “crypto bro” culture is a culture worth replicating. Of course, it’s worth remembering that the community that’s formed around said ideology includes many documented cases of misogyny, racism, harassment, extremism, antisemitism, conspiracy, and outright scams. This makes sense, because for its core believers, Bitcoin is “not an investment but an ideology,” Ortiz said. Still, those promises are hard to deliver on-and, as in the case of El Salvador, those who pay the real price of failure are rarely the people with red lasers shooting out of their eyes on Twitter.īitcoin Embassy Bar isn’t the first business of its kind: There’s a coffee shop in Prague, a bar in Manhattan, and a burger joint in L.A. ![]() Mainstream adoption is still quite far away, but crypto proponents make big promises in the region: that a new, decentralized financial system could promote financial inclusion, combat corruption, and serve as a counterweight to hyperinflation. According to a report by Americas Society/Council of the Americas, the use of cryptocurrencies in Latin America rose 1,370 percent between 20. Depending on how you feel about crypto, this is either incredibly exciting or incredibly problematic. Latin America is arguably the most important testing ground for building physical infrastructure and community around digital currencies-from El Salvador to Puerto Rico to Guatemala. ![]() As it does so, it weaves a sort of tension: creating a physical gathering space for a community that is, in its DNA, digital. It also hopes to be a gathering place for the Bitcoin community in Latin America. It’s a place where you can use Bitcoin to pay for a hot doge (Doge Coind, Multidoge, or Dogechain, depending on your liking), or exchange pesos to reload your Bitcoin wallet. This is Bitcoin Embassy Bar, a hip two-story establishment in Mexico City’s Roma Norte neighborhood. ![]() |
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