Welcome to watch Mojo.

And today we're counting down our picks for the top 10 times.

Robots beat humans at games for this list.

We're looking at instances where a computerized opponent bested a human being or a team of people at a competitive contest or game.

The robots in question don't need to have completely swept a series of games against humans, but there needs to have been at least some sort of definitive winning streak in their favor.

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Theo number 10 Watson, the first entry on our list, features a computer system that was actually created with real life intellectual combat in mind.

Specifically an appearance on the iconic TV quiz show Jeopardy, Jeopardy!

IBM.

Watson has grown leaps and bounds since its inception today, working at high levels in the medical field.

But its biggest claim to fame occurred in 2011 when it won a famous jeopardy match against two of the show's strongest champions.

During the second game of the match, the humans rallied and seemed to have turned the tide, But Watson fought back and ultimately came out on top.

I was nail biting.

I mean, it was just intense because these guys were good.

Number nine Microsoft Speech transcription.

Okay, so maybe there aren't many multimillion dollar word transcription leagues out there for competitive office types.

No, God, please.

No, no, no.

But that doesn't make this technological breakthrough any less notable.

October of 2016 marked the first time when Microsoft Ai AI program equaled the error ratio of a professional team of human transcription experts.

We should mention that the program's success rate was only slightly better than its human counterparts, with the average being more on the level of human parody than any sort of a blowout.

Still, this aye aye success story served as a breakthrough when it came to improving how tools like our mobile phones understand us on a daily basis.

Number eight deepmind Atari.

Do you remember how it felt when you finally reached that high score of your favorite old school arcade game?

Putting your initials on the leader board for the entire neighborhood to see?

Well, how about if an artificial intelligence program could figure out over 100 ways to make that high score look like beginner's luck.

It's never over.

Enter Google's Deepmind technology and its absolute dominance over a score of iconic Atari franchises.

A 2015 report boasted how Deep Mind cleaned up on even the hardest Atari titles, oftentimes performing at a level superior to nearly 3/4 of professional human game testers.

I want a hard figure for proof.

Deepmind scored a whopping 999,990 points at Ms Pac Man beat that one.

Number seven Rubik's Cube Robots solving a Rubik's Cube can take people hours.

The human record, however, actually stands at just 3.47 seconds, held by China's Do You Shun.

That's pretty impressive, but the robot's definitely have us all.

In 2016 German engineer Albert Beers robot Sub one Reloaded solved a Rubik's Cube in 0.637 seconds.

That's fast.

Two years later, even that record was blown away.

When M.

I T engineers let their robots strut its stuff on the speed cubing stage there, Rubiks Contraption managed to solve the Cuban just 20.38 seconds, solving in 321 thes robots weren't directly playing against individuals in this case, but it's safe to say they far outperformed US.

Mere humans.

Number six, Alibaba and Microsoft Reading comprehension All of this next entry.

A case of close but no cigar for humans.

In 2018 competing artificial intelligence programs developed by Alibaba and Microsoft both beat out human scores on a question answering data set by Stanford University.

Alibaba's program scored 82.44 and Microsoft's 82.65 compared to the human performance at 82.304 Sure, it may not seem like a big margin, but both companies had plenty to brag about, given how far a I has come in terms of reading comprehension.

The long lasting effects could be similar to Microsoft speech transcription programs in assisting computers to answer our basic questions with more clarity and accuracy.

Number five, the Northwestern A.

I challenge.

If there's any sort of comfort to be gained from these stories, it's that sometimes artificial intelligence can fall into the same mental pitfalls as humans.

You, with Case in Point, the computation model developed by computer engineers at Northwestern University.

That was a natural at visual problem solving.

In fact, the program was so adept it aced a group standardized test known as Raven's progressive matrices, ending up in the 75th percentile compared to its human counterparts.

The silver lining that the program did tend to miss similar questions as humans who took the test.

Although Northwestern engineer Ken for Bus was quoted as being hopeful that future, eh, I would combine the best of visual recognition and reasoning.

I need your clothes, your boots and your motorcycle number four LeBron us.

Ask anyone who's watched the World Series of Poker tournaments on television.

This card game can be big business, so it only makes sense that some sort of super computer would be developed to play Texas Hold'em games with the best of the best.

Enter LeBron Us, an AI AI program that was born from the success of Politico, a similar program that played against human competitors back in 2015.

LeBron, this is artificial intelligence program software.

Giggle back Professor Tuomas Sandholm and liberals lives in Bridges, which is a new kind of supercomputer way have developed at the Pittsburgh Supercomputing Center.

LeBron has followed a similar path in 2017 but benefited from its enhanced design and ability to learn from its mistakes.

The cream of the poker crop all tried to take down the brought us and the thing I didn't win every hand, but it's lead was absolutely unstoppable, and LeBron is eventually came out on top.

You could speak the LeBron is.

What would you say to it?

Please stop number three Alphago.

There's something to be said about knowing when you're licked.

This was the case with these little one of the world's strongest and most successful competitive go players.

Go is one of those ancient games that's easy to learn but difficult to master, especially when you're playing against a computer opponent.

This was the situation's that'll found himself in back at this 2016 grudge match against Deep Mines Artificial Intelligence Program named Alphago Said.

Old did manage to win one game against Alphago, but ultimately lost the best of five contest against the program.

Congratulations toe Alphago into the entire team for a great match.

He would announce his retirement in 2019 stating in part that Ang I influence in the game quote could not be defeated number two.

The Open A I massacre.

Okay, so we've seen artificial intelligence bots take on the world of Atari and ancient board games.

But what about modern day EA sports tournaments?

Well, the Open aye, aye five Project answered that question with their final public demonstration in 2019 when they absolutely slaughtered a human team on the battlefield of Dota two, also known as defense of the Ancients.

The creeps are on.

The agent DJ is called on Open A I take Game one.

The human experts never had a chance as open A.

I won match after match with relative ease.

So definitive was the program's win that the development team decided to change their focus on a human cooperation, presumably knowing full well that no real competition lay out there for their victorious bought monsters.

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Number one Deep blue.

The world was paying a lot of attention, and we were quite used to that.

It's arguably the most famous instance of man versus machine of all time.

A historical moment that hinted at the vast potential of a I.

Deep Blue was developed by IBM to play chess with the best, eventually challenging Russian chess master Garry Kasparov to a series of matches in 1996.

Deep Blue would only win one of this first best of six challenge, but a rematch a year later saw the program definitively defeat.

Spot off his head sinks into his body and you can see he has given up.

Three.

Human champion was so upset at the loss that he accused Deep Blue of cheating.

But the proof was there in the pudding and marked the first time when a computer would defeat a human chess champion in a tournament setting.

He should come to grips with the fact that people can do a lot of things that he did not think was possible.

Do you agree with our picks?