Descent

Mods ‘n’ Horrors Any horror fans casting their minds back will fondly remember Frictional Games’ Amnesia: The Dark Descent. Released in 2010, this indie survival horror title quickly became one of the most terrifying games of its era. Now, the developer has announced that modding for it just became a lot easier through the Steam Workshop. In a recent post on the Amnesia page, Frictional has said that in anticipation of Amnesia: The Bunker, which is due out in just a couple of days, the team decided to enable the…

Aliens: Dark Descent launches on June 20, and if you're looking for a deal on preorders--Fanatical is offering 18% off the game's PC edition. You can preorder a Steam key for Aliens: Dark Descent for $32.79 ($40).Aliens: Dark Descent features an original story set in the Aliens franchise, with the player leading soldiers against Xenomorphs. The game is a real-time tactical action game, and players can customize the abilities, weapons, and other qualities of their soldiers.You can also forge…

Beginner-friendly guideUnderstand the optimization algorithm widely used in Machine and Deep LearningThe slope of a mountain — Photo by Ralph (Ravi) Kayden on UnsplashImagine you are a drop of water on top of a mountain, and your goal is to get to the lake situated right at the base of the mountain. That tall mountain has different slopes and obstacles, so going down following a straight line might not be the best solution. How would you approach this problem? The best solution would arguably be taking little steps, one…

Towards architecture-aware optimisationTL;DR We’ve derived an optimiser called automatic gradient descent (AGD) that can train ImageNet without hyperparameters. This removes the need for expensive and time-consuming learning rate tuning, selection of learning rate decay schedulers, etc. Our paper can be found here.I worked on this project with Jeremy Bernstein, Kevin Huang, Navid Azizan and Yisong Yue. See Jeremy’s GitHub for a clean Pytorch implementation, or my GitHub for an experimental version with more features.…

The squad that stays together, slays together Over the years, we’ve seen a few different takes on the Aliens franchise. The xenomorphs have been tackled in shooters, Pac-Man-style mazes, and of course, raw horror. With Aliens: Dark Descent, the player takes command of a crack squad of commandos, heading into derelict depths of space that may or may not be crawling with the multi-mouthed creepy crawlies. The question, really, was whether a narrow focus on just a squad of units, with individual talents and a high risk of…

Nice of the Aliens to wait their turn Focus Entertainment has announced that Aliens: Dark Descent, a new video game adaptation of the terrifying sci-fi series, will officially launch June 20 on PlayStation, PC, and Xbox platforms. The new game, which was first announced during Summer Game Fest 2022, will see a squad of hardened marines taking on an infestation on the dark planet, Moon Lethe. Aliens: Dark Descent is a real-time strategy title and will task the player with efficiently equipping, maneuvering, and affording…

From Initialization to Convergence in simple EnglishGradient descent and gradient boosting are two popular machine learning algorithms. Despite their different approaches and applications, both gradient descent and gradient boosting algorithms are founded on gradient calculations and share several common steps. The main aim of this article is to provide a detailed comparison of these two algorithms to help readers gain a better understanding of their similarities and differences.Photo by Gregoire Jeanneau on…

Image by author.IntroductionThe steepest descent algorithm2.1 The search direction 2.2 The step size2.3 The algorithmImplementation3.1 Constant step size3.2 Line search with the Armijo conditionConclusionsOptimization is the process of finding the set of variables x that minimize or maximize an objective function f(x). Since maximizing a function is equivalent to minimizing its negative, we may focus on minimization problems alone:For our example, let us define a quadratic, multivariable objective function f(x) as…

had stopped connecting with the AT&T network. Just like that. It came back on, then it went off. This happened four times in 30 hours.Also: iPhone 14 Pro packs a lot more innovation for the same priceBruce didn't notice at first. But when he tried browsing in an Uber, nada. Anywhere there wasn't Wi-Fi, nada. So he tried making a call and received the message that his phone no longer had access to the network.more Technically Incorrect So he contacted AT&T, as one would. He received immediate promises that the…

Welcome to the second part of our Back To Basics series. In the first part, we covered how to use Linear Regression and Cost Function to find the best-fitting line for our house prices data. However, we also saw that testing multiple intercept values can be tedious and inefficient. In this second part, we’ll delve deeper into Gradient Descent, a powerful technique that can help us find the perfect intercept and optimize our model. We’ll explore the math behind it and see how it can be applied to our linear regression…