In the second quarter alone, the game--which is free to play and generates revenue through small in-game purchases from weapons to character upgrades--pulled in $375 million through Apple Inc.'s App Store in China, app data provider App Annie Inc. estimates. But despite being the world's most valuable gaming company, Tencent has yet to release a hit game in the U.S.--and "Honor of Kings" is its most ambitious attempt to date. To maximize the appeal of the game to Western users, the company struck a deal with DC Comics and will be swapping out historical Chinese characters for DC Comics superheroes such as Batman and Wonder Woman. The game also got a new name: "Arena of Valor." Earlier this month, Tencent put the game in the Google Play store with a "coming soon" tag, and is inviting players to preregister to win rewards.
The words Artificial Intelligence (AI), machine learning (ML) and Data visualization are very popular buzzwords right now. Both Artificial Intelligence and Machine Learning have taken up a tremendous role in characterizing the business realm and have particularly impacted the way we characterize the customer experience. In any case, with regards to understanding Artificial Intelligence and Machine Learning, a few people tend to mix them up or they trust that one can substitute the other, which isn't precisely the case. This term is utilized to characterize technologies that have a human-like intelligence, which can do intellectual tasks that were typically reserved to human minds. The term machine learning is intended to portray the procedure machines experience with the end goal to get information and fundamentally learn for themselves.
AlphaGo wasn't the best Go player on the planet for very long. A new version of the masterful AI program has emerged, and it's a monster. In a head-to-head matchup, AlphaGo Zero defeated the original program by 100 games to none. What's really cool is how AlphaGo Zero did it. Whereas the original AlphaGo learned by ingesting data from hundreds of thousands of games played by human experts, AlphaGo Zero, also developed by the Alphabet subsidiary DeepMind, started with nothing but a blank board and the rules of the game.
"Evie," is a youngish bot with blinking green eyes, smiling pink lips, and flowing brown hair (it seems that bots are almost always made to look and sound like women). According to its makers, Evie comes out with statements that have all been acquired at some point in the past ten years from the things people type to "her." For this reason, its database of possible answers is vastly bigger than anything more primitive bots had to draw on. Even so, there are some strange moments when I attempt a chat with the pixelated face on my computer screen. A remark I type to Evie about Buster Keaton leads it to reply -- actually to spit out, Spock-like -- that I am "making sense."
It's time to add "AI research" to the list of things that machines can do better than humans. Google's Alpha Go, the computer that beat the world's greatest human go player, just lost to a version of itself that's never had a single human lesson. Google is making progress in the field of machine learning at a startling rate. The company's AutoML recently dropped jaws with its ability to self-replicate, and DeepMind is now able to teach itself better than the humans who created it can. DeepMind is the machine behind both versions of Alpha Go, with the latest evolution dubbed Alpha Go Zero -- which sounds like the prequel to a manga.
It makes a certain kind of sense that the game's connoisseurs might have wondered if they'd seen glimpses of the occult in those three so-called ghost moves. Unlike something like tic-tac-toe, which is straightforward enough that the optimal strategy is always clear-cut, Go is so complex that new, unfamiliar strategies can feel astonishing, revolutionary, or even uncanny. Unfortunately for ghosts, now it's computers that are revealing these goosebump-inducing moves. As many will remember, AlphaGo--a program that used machine learning to master Go--decimated world champion Ke Jie earlier this year. Then, the program's creators at Google's DeepMind let the program continue to train by playing millions of games against itself.
A mere 19 months after dethroning the world's top human Go player, the computer program AlphaGo has smashed an even more momentous barrier: It can now achieve unprecedented levels of mastery purely by teaching itself. Starting with zero knowledge of Go strategy and no training by humans, the new iteration of the program, called AlphaGo Zero, needed just three days to invent advanced strategies undiscovered by human players in the multi-millennia history of the game. By freeing artificial intelligence from a dependence on human knowledge, the breakthrough removes a primary limit on how smart machines can become. Earlier versions of AlphaGo were taught to play the game using two methods. In the first, called supervised learning, researchers fed the program 100,000 top amateur Go games and taught it to imitate what it saw.
The computer that stunned humanity by beating the best mortal players at a strategy board game requiring "intuition" has become even smarter, its creators claim. Even more startling, the updated version of AlphaGo is entirely self-taught -- a major step towards the rise of machines that achieve superhuman abilities "with no human input", they reported in the science journal Nature. Dubbed AlphaGo Zero, the Artificial Intelligence (AI) system learnt by itself, within days, to master the ancient Chinese board game known as "Go" -- said to be the most complex two-person challenge ever invented. It came up with its own, novel moves to eclipse all the Go acumen humans have acquired over thousands of years. After just three days of self-training it was put to the ultimate test against AlphaGo, its forerunner which previously dethroned the top human champs.
Last year the UAE got a Minister of Happiness, and now, in another world first, the country has a Minister of Artificial Intelligence – an acknowledgement by the Emirates that these are the technologies that are going to change the world around us, and quickly. H.H. Sheikh Mohammed bin Rashid Al Maktoum, Vice President of the UAE and ruler of Dubai, announced a full cabinet reshuffle today, and as part of that 27-year-old Omar Bin Sultan Al Olama has been announced as the Minister of AI. Al Olama has been working as the Deputy Director of the Future Department for just over a year now, and he has been on the Executive Committee of the World Government Summit since 2014. He has a BBA from the American University of Dubai, and a diploma of excellence and project management from the American University in Sharjah. Well, they plan to use AI to not only streamline costs, but to also bolster education and a desire to learn; to reduce accidents on the roads; and to create savings in the energy industry.
Ms. Johnson said other areas drawing Microsoft's attention include quantum computing, gaming, and software as a service. "We look at everything," she said. "I look at growth for the company." Microsoft invested in two large private technology companies this year, Indian e-commerce player Flipkart Ltd. and InsideSales.com Its last big tech acquisitions included the $26 billion deal for professional networking site LinkedIn in 2016 and the $2.5 billion purchase of Minecraft videogame maker Mojang AB.