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RWBY (/ ˈ r uː b i /, like "ruby") is an American anime-style web series and media franchise created by Monty Oum for Rooster Teeth. The show is set in the.

Diep. io Strategy And Tips: On Tank Classes, Upgrading Stats And Progressing Through The Agar. Style Game. Been playing Agario spin- off game, Diep. Check out our Diep. Watch Midnight Son Online Free HD.

Diep. io, a third, browser- based game sensation is taking the internet by storm, joining the ranks of popular predecessors, Agar. Slither. io. But unlike Slither.

LazyTown is an Icelandic children's educational musical comedy program with a cast and crew from Iceland, the United States and the United Kingdom.

Après avoir suivi un stage, tous nos élèves sont invités à témoigner de leur expérience. Ces retours nombreux vous sont communiqués sur cette page. Surface Pro LTE reportedly set to launch on 1st December.

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Agar. io, Diep. io, brings similar gameplay features but with some twists that makes it an altogether different beast. If you’ve just started playing Diep. NEW: Diep. io Adds New Manager Class And Destroyer Subclass: What They Do And How To Get Them. Diep. io: How To Play. First things first, for those who have heard of the game but aren’t sure how it’s played, basically, instead of being a blog or a snake, you embody a small tank. The object of the game, like Agar.

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Slither. io is to become the biggest baddest tank around and it requires demolishing tanks around you in order to get there. However, in Diep. In Diep. io we’ve also got stat points and tank classes that add complexity to the gameplay.

To play the game, you need to visit Diep. Obstacles  in the game, which you need to shoot in order to gain experience and later level up, include colored squares, triangles and pentagons. To shoot simply point your mouse at your target and click the left mouse button or tap the space bar (alternatively, you can hold down either the left mouse or space bar for continuous shots). To move around the grid, use your arrow keys. When you destroy shapes or other tanks your tank level bar begins to fill. Once it’s full you level up. Each time your Tank levels up you gain a stat point which allows you to add stats to your tank like health, bullet speed, penetration – there are eight district stats you can upgrade using points (more on those below). You get a stat point for each level up until you hit 3.

When you reach level 1. Each class, just like stats, adds a unique element to your gameplay (more on tank classes below). Diep. io Stats: All The Tank Upgrades Plus Tips On How To Use Them. There are 8 different stat upgrades you can use.

When you level up your tank, a stat menu appears to the left of your game screen. Below are the stats you can choose from. You select a stat by tapping on the plus sign beside each.

Health Regen - Increases the life recovery rate of your tank. Max Health - Increases the maximum life. Body Damage - Improves the damage caused by collision with other players or obstacles. Bullet Speed - Increases the speed of the projectile. Bullet Penetration - Bullets go through obstacles and players.

Bullet Damage - Improves the damage caused by projectile. Reload - Interval decreased bullets. Movement Speed - Increases movement speed of your tank. Each of these stats obviously brings its own sets of benefits and as you think about the Tank class you are going to choose, you’ll want to add complimentary upgrades. For example, snipers load slower so you’ll want to make their shots count. You’ll also want to consider the types of players you see on the board at the time. If the server is loaded with players, for instance, health upgrades might come in handy.

All Diep. io Tank Classes And Upgrades. UPDATE: Latest Diep. Class Tree can be found here. There are four different tank classes in Diep. Each class offers its own unique benefits: Twin - Adds a second gun shooting at the same frequency.

Sniper - Increases the range of vision and the projectile damage. Class with slower shooting. Machine Gun - Cannon increases the angle and shoots projectiles faster. Flank Guard - Fires in two different directions.

At levels 3. 0 and 4. They are as follows: Twin - > Triplet - > Pentashot.

Sniper - > Overseer - > Overlord. Machine Gun - > Destroyer - > Mega Destroyer.

Flankguard - > Twin Flank - > Octotank. UPDATE: A new Necromancer class was added Wednesday.

Find out what it does and how to get it, here. UPDATE 0. 6/0. 7/1. Diep. io Adds New Manager Class And Destroyer Subclass: What They Do And How To Get Them. Diep. io Strategies And Upgrade Tips. We searched a number of  Diep.

We've posted a few of them below. Diep. io Strategy #1 – by FPTN on Reddit. Watch The Awakening Of Spring Putlocker on this page. Get to level 1. 5 and upgrade to a Twin. Max out Bullet Damage and Reload (alternate between)Add a point into Health Regen. Get to level 3. 0 and upgrade to a Triplet (NOT Triple- shot!)Max out Bullet Penetration. Max out Bullet Speed.

Add the rest into Max Health“The idea is that you are always protected by your own stream of bullets,” FPTN wrote. The high Bullet Penetration and Reload means that enemy bullets will never be able to reach you, as they will be gunned down by your bullets. Then if they try to body slam you, they will die to your high damage stream of bullets. With this in mind, you can go on to pick your own fights and escape from unwanted ones by covering yourself with a big, impenetrable wave of bullets.

I killed 1. 45 tanks on my last game using this build before I had to leave.”Diep. Strategy #2 – by Wantopoz on Reddit“Quick and dirty strategy for this. Shoot 2 of the blue pentagons and max out health regen. Pick sniper class. Then start ramming into things and max out body damage. Pick overseer class. Now max out health.

Now look for the sea of pentagons and ram them all be careful because the big ones will drain your health. Max out movement. And put the remaining points in reload. And pick mega overseer class.

Use the little triangles to corner the weak tanks and ram into them. Or use them as cover from the more powerful tanks as you ram into them. You are vulnerable to machine guns and triple guns pointed in the same direction. Avoid them.”Diep. Strategy #3 – by fuck_you_its_a_name on Reddit“Focus on movement speed and health regen.

Once you've maxed regen, focus on body damage and finish movement speed. Also, get some max health as well. Stop shooting blocks, just run them over for xp, it is much faster.

Your regen will help. Skip all damage / penetration / whatever. You won't really ever shoot at anyone. Go machine gun class, and then DESTROYER class. Max out body damage, health, regen, movement speed.

When you shoot, there is high knockback on your ship. Shoot backwards, and propel yourself into unsuspecting ships, instantly killing them with your body damage. Put the rest of your points into reload speed.”Diep. Strategy #4 –by Atari.

Global Risks Report 2. Reports. Every step forward in artificial intelligence (AI) challenges assumptions about what machines can do. Myriad opportunities for economic benefit have created a stable flow of investment into AI research and development, but with the opportunities come risks to decision- making, security and governance.

Increasingly intelligent systems supplanting both blue- and white- collar employees are exposing the fault lines in our economic and social systems and requiring policy- makers to look for measures that will build resilience to the impact of automation. Leading entrepreneurs and scientists are also concerned about how to engineer intelligent systems as these systems begin implicitly taking on social obligations and responsibilities, and several of them penned an Open Letter on Research Priorities for Robust and Beneficial Artificial Intelligence in late 2. Whether or not we are comfortable with AI may already be moot: more pertinent questions might be whether we can and ought to build trust in systems that can make decisions beyond human oversight that may have irreversible consequences. Growing Investment, Benefits and Potential Risk. By providing new information and improving decision- making through data- driven strategies, AI could potentially help to solve some of the complex global challenges of the 2.

Start- ups specializing in AI applications received US$2. US$1. 5 billion in the first half of 2. Government programmes and existing technology companies add further billions (Figure 3.

Leading players are not just hiring from universities, they are hiring the universities: Amazon, Google and Microsoft have moved to funding professorships and directly acquiring university researchers in the search for competitive advantage. Machine learning techniques are now revealing valuable patterns in large data sets and adding value to enterprises by tackling problems at a scale beyond human capability. For example, Stanford’s computational pathologist (C- Path) has highlighted unnoticed indicators for breast cancer by analysing thousands of cellular features on hundreds of tumour images,4 while Deep. Mind increased the power usage efficiency of Alphabet Inc.’s data centres by 1. AI applications can reduce costs and improve diagnostics with staggering speed and surprising creativity. The generic term AI covers a wide range of capabilities and potential capabilities.

Some serious thinkers fear that AI could one day pose an existential threat: a “superintelligence” might pursue goals that prove not to be aligned with the continued existence of humankind. Such fears relate to “strong” AI or “artificial general intelligence” (AGI), which would be the equivalent of human- level awareness, but which does not yet exist. Current AI applications are forms of “weak” or “narrow” AI or “artificial specialized intelligence” (ASI); they are directed at solving specific problems or taking actions within a limited set of parameters, some of which may be unknown and must be discovered and learned. Tasks such as trading stocks, writing sports summaries, flying military planes and keeping a car within its lane on the highway are now all within the domain of ASI. As ASI applications expand, so do the risks of these applications operating in unforeseeable ways or outside the control of humans. The 2. 01. 0 and 2. ASI applications can have unanticipated real- world impacts, while Alpha.

Go shows how ASI can surprise human experts with novel but effective tactics (Box 3. In combination with robotics, AI applications are already affecting employment and shaping risks related to social inequality. AI has great potential to augment human decision- making by countering cognitive biases and making rapid sense of extremely large data sets: at least one venture capital firm has already appointed an AI application to help determine its financial decisions.

Gradually removing human oversight can increase efficiency and is necessary for some applications, such as automated vehicles. However, there are dangers in coming to depend entirely on the decisions of AI systems when we do not fully understand how the systems are making those decisions. Box 3. 2. 1: Artificial Intelligence and the Future of Warfareby Jean- Marc Rickli, Geneva Centre for Security Policy. One sector that saw the huge disruptive potential of AI from an early stage is the military.

The weaponization of AI will represent a paradigm shift in the way wars are fought, with profound consequences for international security and stability. Serious investment in autonomous weapon systems (AWS) began a few years ago; in July 2. Pentagon’s Defense Science Board published its first study on autonomy, but there is no consensus yet on how to regulate the development of these weapons. The international community started to debate the emerging technology of lethal autonomous weapons systems (LAWS) in the framework of the United Nations Convention on Conventional Weapon (CCW) in 2. Yet, so far, states have not agreed on how to proceed. Those calling for a ban on AWS fear that human beings will be removed from the loop, leaving decisions on the use lethal force to machines, with ramifications we do not yet understand. There are lessons here from non- military applications of AI. Consider the example of Alpha.

Go, the AI Go- player created by Google’s Deep. Mind division, which in March last year beat the world’s second- best human player. Some of Alpha. Go’s moves puzzled observers, because they did not fit usual human patterns of play. Deep. Mind CEO Demis Hassabis explained the reason for this difference as follows: “unlike humans, the Alpha. Go program aims to maximize the probability of winning rather than optimizing margins”.

If this binary logic – in which the only thing that matters is winning while the margin of victory is irrelevant – were built into an autonomous weapons system, it would lead to the violation of the principle of proportionality, because the algorithm would see no difference between victories that required it to kill one adversary or 1,0. Autonomous weapons systems will also have an impact on strategic stability. Since 1. 94. 5, the global strategic balance has prioritized defensive systems – a priority that has been conducive to stability because it has deterred attacks. However, the strategy of choice for AWS will be based on swarming, in which an adversary’s defence system is overwhelmed with a concentrated barrage of coordinated simultaneous attacks.