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'Valorant' plays like a finely tuned instrument. Is it really the next big thing?

Washington Post - Technology News

Like a stunning chess match or the work of an artisan watchmaker, "Valorant" is a game that is exciting to observe. It's a game I wish I could solve, and find the precise sequence of abilities and counters that would lead to victory. But while the moment to moment play -- the split second decisions and micro dramas of player encounters that terrace up to the final encounter of the round -- can be exhilarating, the net effect is exhaustion. Although "Valorant" is about time, in a sense, I am not sure that it has nailed a good length for its games. Rounds traditionally last 45 minutes or so, and no matter how a game goes, my mental state at the end of a first-to-13 match is usually one of bargaining. Staring at the scoreboard after a match, I can feel the full weight of my body, the crane in my neck, the vaporous, carcinogenic feeling in the blood when you sit in one place for too long.


Computer chess: how the ancient game revolutionised AI

The Guardian

Tue 19 May 2020 06.14 EDT Last modified on Tue 19 May 2020 06.16 EDT When legendary chess grandmaster Garry Kasparov found himself beaten by IBM's Deep Blue supercomputer, it was seen as a seminal moment in the evolution of artificial intelligence. A road trodden by war heroes and student researchers alike, whose singular desire to create a program that could beat the very best in the world would shape an entire science. Early origins Chess lends itself well to computer programming. Where other games can depend more on gut instinct or physical skill, chess is a game of strict binary rules – a move is either correct or it isn't. It's a game where multiple permutations, strategies and responses to moves and gambits could all be pre-programmed.


Humans and AI: Future Best Friends

#artificialintelligence

It is not that hard to believe, how just two decades ago Deep Blue a computer beat a chess grandmaster Gary Kasparov. AI is enhancing itself and is becoming better at numerous "human" jobs -- diagnosing disease, translating languages, providing customer service -- and it's improving fast. This is raising reasonable fears amongst workers and upcoming students. According to The Guardian, 76% of Americans fear that their job will be lost to AI. While it's speculated AI will take over 1.8 million human jobs by the year 2020, however, the technology is also expected to create a 2.3 million new kinds of jobs, many of which will involve the collaboration between humans and AI.


An imprisoned bishop Highly Evolved Leela vs Mighty Stockfish TCEC Season 17 Rd 34

#artificialintelligence

FIDE CM Kingscrusher goes over a game featuring An imprisoned bishop Highly Evolved Leela vs Mighty Stockfish TCEC Season 17 Rd 34 Play turn style chess at http://bit.ly/chessworld FIDE CM Kingscrusher goes over amazing games of Chess every day, with a focus recently on chess champions such as Magnus Carlsen or even games of Neural Networks which are opening up new concepts for how chess could be played more effectively. The Game qualities that kingscrusher looks for are generally amazing games with some awesome or astonishing features to them. Many brilliant games are being played every year in Chess and this channel helps to find and explain them in a clear way. There are classic games, crushing and dynamic games. There are exceptionally elegant games.


No, You Won't Work Alongside Robots

#artificialintelligence

In 1997, IBM's Deep Blue defeated the reigning world chess champion Garry Kasparov. The world was in shock. It seemed computers, thus far thought to be little more than glorified calculators, had finally intruded upon the human domain of imagination and creativity. The worry was in vain. Deep Blue had no capacity for ingenuity.


The Dominance of Artificial Intelligence - Savants and Sages

#artificialintelligence

"We should not be confident in our ability to keep a super intelligent genie locked up in his bottle forever. Sooner or later it will be out…The answer is to figure out how to create the superintelligent A.I. such that even if –when –it escapes, it is still safe because it is fundamentally on our side because it shares our values." It was in the 1940s when Alan Turing, the computer scientist, mathematician, cryptanalyst and philosopher, defined artificial intelligence (A.I.) as the science and engineering of making intelligent machines who can speak a common language with humans and think like humans. In the 1950s, war scenarios were simulated in the US military to use in critical combat strategies. During the same period, IBM had already invented the machine that could check-mate the human opponent in a game of chess.


The Games That AI Won

#artificialintelligence

Some tasks that AI does are actually not impressive. Think about your camera recognizing and auto-focusing on faces in pictures. That technology has been around since 2001, and it doesn't tend to excite people. Well, because you can do that too, you can focus your eyes on someone's face very easily. In fact, it's so easy you don't even know how you do it.


Bot can beat humans in multiplayer hidden-role games

#artificialintelligence

MIT researchers have developed a bot equipped with artificial intelligence that can beat human players in tricky online multiplayer games where player roles and motives are kept secret. Many gaming bots have been built to keep up with human players. Earlier this year, a team from Carnegie Mellon University developed the world's first bot that can beat professionals in multiplayer poker. DeepMind's AlphaGo made headlines in 2016 for besting a professional Go player. Several bots have also been built to beat professional chess players or join forces in cooperative games such as online capture the flag.


How AI Learns to Play Games

#artificialintelligence

Over the past few years, we've seen computer programs winning games which we believe humans were unbeatable. This belief held considering this games had so many possible moves for a given position that would be impossible to computer programs calculate all of then and choose the best ones. However, in 1997 the world witnessed what otherwise was considered impossible: the IBM Deep Blue supercomputer won a six game chess match against Gary Kasparov, the world champion of that time, by 3.5 – 2.5. Such victory would only be achieved again when DeepMind's AlphaGo won a five game Go match against Lee Sedol, 18 times world champion, by a 4-1 score. The IBM Deep Blue team relied mostly in brute force and computation power as their strategy to win the matches.


The Moravec Paradox -

#artificialintelligence

"Focusing on your strengths is required for peak performance, but improving your weaknesses has the potential for the greatest gains. This is true for athletes, executives and entire companies." As parents, we get to see our kids growing, trying, falling and learning in the process. First steps, first words, first drawings leave us amazed. As our children become adults, they continue to learn, choose a career and become athletes, surgeons, plane pilots, journalists, teachers… and we're proud.