Fox News senior congressional correspondent Chad Pergram joins'Fox News Live' to explain how he prepares to report on Congress for the upcoming year. Every two years, the period between the November election and when the new Congress begins is often the busiest swath of time for covering Congress. Reporters are trying to figure out who won their elections and who lost. The existing Congress is back, attempting to prevent a government shutdown and often plowing through a landscape of other major legislation. There are often leadership elections.

Vicki Sparks: Zaire-Emery is already used to shouldering responsibility as one of Paris St-Germain's stand-out performers this season as they won the French double. That earned him both the UNFP Young Player of the Year Award (the French equivalent of PFA Young Player of the Year) and a new contract until 2029. Game time will be the question here because the France midfield oozes quality and experience, but Zaire-Emery is a real talent and, having been given permission to delay his school exams until September, he will hope Didier Deschamps gives him a chance to show what he can do on the big stage.

Maji et al. introduced in 2002 a method of parametric decision making using soft sets as tools and representing their tabular form as a binary matrix. In cases, however, where some or all of the parameters used for the characterization of the elements of the universal set are of fuzzy texture, their method does not give always the best decision making solution. In order to tackle this problem, we modified in earlier works the method of Maji et al. by replacing the binary elements in the tabular form of the corresponding soft set either by grey numbers or by triangular fuzzy numbers. In this work, in order to tackle more efficiently cases in which the decision maker has doubts about the correctness of the fuzzy/qualitative characterizations assigned to some or all of the elements of the universal set, we replace the binary elements of the tabular form by neutrosophic triplets. Our new, neutrosophic decision making method is illustrated by an application concerning the choice of a new player by a soccer club.

The Norwegian Web browser made headlines a few days ago. And as soon as I got to know that, I knew I had to write a post on it. In the game of AI search, we have a new player. And the more players there are, the more fun it is! Though Opera has only a 2.4% share of the web browser market, it has a loyal and true fan base.

Gone are the days when free games equated to ropey puzzle games and knock-off clones of games that had a price tag. These days, courtesy of in-app payments and the ease of offering both a sample of a title alongside its full-fat version, there are actually plenty of great games to play without spending a dime. Following the continued success of titles like Fortnite, the level of quality across mobile, PC and consoles has never been higher. Put your card away, and consider this your starting point. At launch, many of us assumed Genshin Impact was a tenuous Zelda: Breath of the Wild copy with impressive anime graphics and not much else.

I explain Artificial Intelligence terms and news to non-experts. Google recently announced a new model for automatically generating summaries using machine learning, released in Google Docs that you can already use. The model will try to understand the whole document and generate a short summary of the piece--something some movie professionals clearly still can't do. The model needs to achieve two things to achieve that, which you will learn in the video below! Read the full article: https://www.louisbouchard.ai/google-docs-summary/

Online competitive games have become a mainstream entertainment platform. To create a fair and exciting experience, these games use rating systems to match players with similar skills. While there has been an increasing amount of research on improving the performance of these systems, less attention has been paid to how their performance is evaluated. In this paper, we explore the utility of several metrics for evaluating three popular rating systems on a real-world dataset of over 25,000 team battle royale matches. Our results suggest considerable differences in their evaluation patterns. Some metrics were highly impacted by the inclusion of new players. Many could not capture the real differences between certain groups of players. Among all metrics studied, normalized discounted cumulative gain (NDCG) demonstrated more reliable performance and more flexibility. It alleviated most of the challenges faced by the other metrics while adding the freedom to adjust the focus of the evaluations on different groups of players.

Firor: We have three different groups of players, generally. We add millions of new players every year, like millions, and we have every year since 2014. We also have players that come in and play certain pieces of content, like our chapter, which launches pretty much every June. And then we have players that log in regularly, every week, every day, to do dungeons and co-op content and so forth. So, you know, it's always kind of these three groups are always kind of intermixing with each other.

After practice, however, I've started to play "Wild Rift's" competitive ranked mode and found it's easy to be consistent in games, push objectives forward and have a positive impact on the team. Double kills and even triple kills are sometimes simple to pull off, when enemy players are still trying to figure out how to run away. With the smaller map, ganks, the act of popping into a different lane to help kill the enemy, are a lot easier to execute. A common strategy in effective rank games is to group up and start deleting enemy champions one at a time. It's a plan that works well on PC too, but it feels even more oppressive on mobile, if one team is always sticking together and the other is scattered and uncoordinated.

The game is as wide as the Pacific Ocean at the beginning of a rookie's R6 tenure. There's always a new operator to learn, a new gadget interaction to test, a new strategy to try, and the horizon is constantly expanding. Put bluntly, players must do a lot of homework and suffer tens, if not hundreds of hours worth of hard-learned lessons before they feel they can contribute competently. On one hand, the game's complexity is its biggest appeal, on the other, it's a significant barrier to expanding its player base. While that number is massive, numbering 70 as of this year, could this ongoing expanse and evolution eventually case that player base to stagnate?