Pokémon - Wikipedia. Pokémon(Japanese: ポケモン,Hepburn: Pokemon, Japanese: [pokemoɴ]; English: )[1][2][3] is a media franchise managed by The Pokémon Company, a Japanese consortium between Nintendo, Game Freak, and Creatures.[4] The franchise copyright is shared by all three companies, but Nintendo is the sole owner of the trademark.[5] The franchise was created by Satoshi Tajiri in 1.

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Pokémon", which humans, known as Pokémon Trainers, catch and train to battle each other for sport. The franchise began as a pair of video games for the original Game Boy that were developed by Game Freak and published by Nintendo. It now spans video games, trading card games, animated television shows and movies, comic books, and toys. Pokémon is the second best- selling video game franchise, behind only Nintendo's Mario franchise[7] and the highest- grossing media franchise of all time. The franchise is also represented in other Nintendo media, such as the Super Smash Bros. Cumulative sales of the video games (including home console games, such as Hey You, Pikachu!

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Nintendo 6. 4) have reached more than 2. In November 2. 00. Kids Entertainment, which had managed the non- game related licensing of Pokémon, announced that it had agreed not to renew the Pokémon representation agreement. The Pokémon Company International (formerly Pokémon USA Inc.), a subsidiary of Japan's Pokémon Co., oversees all Pokémon licensing outside Asia.[9] As of March 2. Pokémon franchise has grossed revenues of ¥6. US$5. 5. 1. 5 billion).

Surface Pro LTE reportedly set to launch on 1st December. Toonami (/ t uː ˈ n ɑː m i / too-NAH-mee, stylized as TOONAMI) is a television programming block that primarily consists of American animation and Japanese anime. Gotham Season 4 Episode 1. Watch Gotham Season 4 Episode 1 Online, Gotham Season 4 A Dark Knight: Pax Penguina, Gotham 4×1, Gotham S4E1, Gotham 4/1, Gotham S04E01. · Box 3.2.1: Artificial Intelligence and the Future of Warfare. by Jean-Marc Rickli, Geneva Centre for Security Policy. One sector that saw the huge disruptive.

The franchise celebrated its tenth anniversary in 2. Super Bowl 5. 0, issuing re- releases of Pokémon.

I--dressup.com i--light.de i--man.de i--men.de i--net.net i--pad.com i--q.net i--t.ws i--u.com i--want--free--porn.com i-1.nl i-10.org i-10dai.com i-10entertainment.com. Name. The name Pokémon is the romanized contraction of the Japanese brand Pocket Monsters (ポケットモンスター, Poketto Monsutā). The term Pokémon, in.

Red, Blue, and Yellow, and completely redesigning the way the newest games are played.[1. The mobile augmented reality game Pokémon Go was released in July 2. The first seventh- generation games Pokémon Sun and Moon were released worldwide on November 1. A live- action film adaptation based on Great Detective Pikachu began production in 2. The English slogan for the franchise is "Gotta Catch 'Em All".[1.

Name. The name Pokémon is the romanizedcontraction of the Japanese brand Pocket Monsters(ポケットモンスター,Poketto Monsutā).[1. The term Pokémon, in addition to referring to the Pokémon franchise itself, also collectively refers to the 8. Pokémon media as of the release of the seventh generation titles Pokémon Sun and Moon. Pokémon" is identical in both the singular and plural, as is each individual species name; it is grammatically correct to say "one Pokémon" and "many Pokémon", as well as "one Pikachu" and "many Pikachu".[1. Concept. An animated history of how Satoshi Tajiri came to conceive Pokémon.

Tajiri first thought of Pokémon, albeit with a different concept and name, around 1. Game Boy was first released. The concept of the Pokémon universe, in both the video games and the general fictional world of Pokémon, stems from the hobby of insect collecting, a popular pastime which Pokémon executive director Satoshi Tajiri enjoyed as a child.[2. Players are designated as Pokémon Trainers and have three general goals: to complete the regional Pokédex by collecting all of the available Pokémon species found in the fictional region where a game takes place, to complete the national Pokédex by transferring Pokémon from other regions, and to train a team of powerful Pokémon from those they have caught to compete against teams owned by other Trainers so they may eventually win the Pokémon League and become the regional Champion.

These themes of collecting, training, and battling are present in almost every version of the Pokémon franchise, including the video games, the anime and manga series, and the Pokémon Trading Card Game. In most incarnations of the Pokémon universe, a Trainer who encounters a wild Pokémon is able to capture that Pokémon by throwing a specially designed, mass- producible spherical tool called a Poké Ball at it. If the Pokémon is unable to escape the confines of the Poké Ball, it is officially considered to be under the ownership of that Trainer. Afterwards, it will obey whatever commands it receives from its new Trainer, unless the Trainer demonstrates such a lack of experience that the Pokémon would rather act on its own accord.

Trainers can send out any of their Pokémon to wage non- lethal battles against other Pokémon; if the opposing Pokémon is wild, the Trainer can capture that Pokémon with a Poké Ball, increasing his or her collection of creatures. Pokémon already owned by other Trainers cannot be captured, except under special circumstances in certain side games.

If a Pokémon fully defeats an opponent in battle so that the opponent is knocked out ("faints"), the winning Pokémon gains experience points and may level up. When leveling up, the Pokémon's battling aptitude statistics ("stats, such as Attack and Speed") increase. At certain levels, the Pokémon may also learn new moves, which are techniques used in battle.

In addition, many species of Pokémon can undergo a form of metamorphosis and transform into a similar but stronger species of Pokémon, a process called evolution. In the main series, each game's single- player mode requires the Trainer to raise a team of Pokémon to defeat many non- player character (NPC) Trainers and their Pokémon.

Each game lays out a somewhat linear path through a specific region of the Pokémon world for the Trainer to journey through, completing events and battling opponents along the way (including foiling the plans of an 'evil' team of Pokémon Trainers who serve as antagonists to the player). Each game (excluding Sun and Moon) features eight especially powerful Trainers, referred to as Gym Leaders, that the Trainer must defeat in order to progress.

As a reward, the Trainer receives a Gym Badge, and once all eight badges are collected, that Trainer is eligible to challenge the region's Pokémon League, where four immensely talented trainers (referred to collectively as the "Elite Four") challenge the Trainer to four Pokémon battles in succession. If the trainer can overcome this gauntlet, he or she must then challenge the Regional Champion, the master Trainer who had previously defeated the Elite Four. Any Trainer who wins this last battle becomes the new champion. In Sun and Moon, however, the Gym Leaders are not present, and are instead replaced with "Trial Captains", a NPC who gives the Trainer a challenge to complete so as to earn a special item. Once the player completes all of these on an island, the Trainer must take on the Island Kahuna, the strongest Trainer on the island. Once the player beats all the Kahunas, he must travel to the recently built Pokémon League, where he must re- defeat two of the Kahunas and two strong Trainers, who now form the Elite Four, and then defend his newly received title against challengers. It is implied by Takeshi Shudo, the initial writer for the anime, that the creators of Pokémon had not anticipated the franchise would become so popular, and there were plans to end the series by the Gold and Silver era.

In his blog, Shudo reveals he even had an ending drafted for the anime, in which the last episode reveals an elderly Ash Ketchumhallucinated the entire events of the show.[2. This is supported in an interview with president of The Pokémon Company, Tsunekazu Ishihara, who predicted the anime would end by 1. He also stated he initially did not intend on making "any more Pokémon titles" after Gold and Silver and would have moved on to other projects. However the games' success following their release prompted Ishinhara to continue work on the series.[2. Video games. Generations. The original Pokémon games were role- playing games (RPGs) with an element of strategy, and were created by Satoshi Tajiri for the Game Boy.

These RPGs, and their sequels, remakes, and English language translations, are still considered the "main" Pokémon games, and the games which most fans of the series are referring to when they use the term "Pokémon games".

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. Chandragupta Maurya Episode 108 Full Episode. 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. This risks upsetting the global equilibrium by neutralizing the defence systems on which it is founded. This would lead to a very unstable international configuration, encouraging escalation and arms races and the replacement of deterrence by pre- emption. We may already have passed the tipping point for prohibiting the development of these weapons. An arms race in autonomous weapons systems is very likely in the near future. The international community should tackle this issue with the utmost urgency and seriousness because, once the first fully autonomous weapons are deployed, it will be too late to go back. Risks to Decision- Making, Security and Safety.

In any complex and chaotic system, including AI systems, potential dangers include mismanagement, design vulnerabilities, accidents and unforeseen occurrences. These pose serious challenges to ensuring the security and safety of individuals, governments and enterprises. It may be tolerable for a bug to cause an AI mobile phone application to freeze or misunderstand a request, for example, but when an AI weapons system or autonomous navigation system encounters a mistake in a line of code, the results could be lethal.

Machine- learning algorithms can also develop their own biases, depending on the data they analyse. For example, an experimental Twitter account run by an AI application ended up being taken down for making socially unacceptable remarks; 1.