Tag Archives: Watson

The Robots Are Here and They Can Spell

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[Image courtesy of World of Weird Things.]

I warned you, fellow puzzlers. You can’t say I didn’t warn you.

The robots are coming, and they want our puzzles and games.

Let’s look at the hit list:

  • Deep Blue defeated Russian chess grandmaster Garry Kasparov under standard chess tournament time constraints
  • IBM’s supercomputer Watson bested previous Jeopardy! champions Brad Rutter and Ken Jennings to nab a million-dollar prize
  • An AI program called DeepMind taught itself to play several Atari games with superhuman proficiency
  • There are several robots constructed out of LEGOs that solve Rubik’s Cubes in seconds flat
  • Dr. Fill, the crossword-solving computer program, competes at the American Crossword Puzzle Tournament, and in a matter of five years, it has jumped from 141st place in the 2012 tournament to 11th place in the 2017 tournament
  • Just last year, an AI developed by Google, AlphaGo (a product of DeepMind), twice defeated Ke Jie, the 19-year-old Go tournament champion ranked number one in the world

And Scrabble fans, you’re the next ones in the crosshairs of the machines.

During last week’s Consumer Electronics Show (CES), the Industrial Technology Research Institute out of Taiwan debuted the IVS Robot — aka The Intelligent Vision System for Companion Robots — a machine capable of defeating human competitors at Scrabble.

[Image courtesy of ABC News.]

Instead of tiles and a standard Scrabble board, the IVS reads letter cubes (similar to a child’s alphabet blocks) played on a slightly larger gameboard. But time limits for play and standard rules still apply.

From an article on Engadget:

It’s hard not to be impressed by all the moving parts here. For one, the robot has to learn and understand the rules of the game and the best strategies for winning. It also needs to be able to see and recognize the game pieces and the spots on the board. That means it can read the letters on the cubes and identify the double-letter and triple-word score spots.

And, last but not least, it needs the dexterity to place the pieces on the board and not disturb the existing letters — which is especially difficult when you’re laying down two words next to each other to rack up those two-letter combos.

A quick Google search confirms that the robot bested practically every reporter, tech-savvy or otherwise, that crossed its path.

In the video below, North American Scrabble champion Will Anderson teams up with reporter Lexy Savvides to battle the robot, but a technical error prevents the game from getting very far:

Still, you can see the potential here. I’m sure it won’t be long before the IVS Robot is making appearances at Scrabble tournaments, attempting to establish machine dominance over another puzzly activity.

Stay strong, fellow puzzlers.

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Rise of the Machines!

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I don’t mean to alarm you, fellow puzzlers and PuzzleNationers, but the machines may be taking over.

First, there was Deep Blue, defeating Russian chess grandmaster Garry Kasparov under standard chess tournament time constraints.

Then, there was IBM’s supercomputer Watson, sitting at the buzzer on Jeopardy!, besting previous champions Brad Rutter and Ken Jennings to nab a million-dollar prize.

An AI program called Deep Mind can play several Atari games with superhuman proficiency.

These days, you can design robots with LEGOs that are capable of solving Rubik’s Cubes in seconds flat.

And, of course, crossword fans probably know of Dr. Fill, the crossword-solving computer program that competes at the American Crossword Puzzle Tournament each year. In a matter of five years, it has jumped from 141st place in the 2012 tournament to 11th place in the 2017 tournament.

drfill_400x400

Now, the machines are coming for Go players next. Google has developed an artificial intelligence known as AlphaGo which twice conquered Ke Jie, the 19-year-old Go tournament champion ranked number one in the world.

This strategy board game is played with white and black gamepieces called stones, and the objective is to surround a greater total amount of territory on the game board than your opponent. Along the way, you can surround your opponent’s pieces in order to capture them and remove them from play.

Wikipedia aptly describes the depth and difficulty of the game:

Despite its relatively simple rules, Go is very complex, even more so than chess, and possesses more possibilities than the total number of atoms in the visible universe. Compared to chess, Go has both a larger board with more scope for play and longer games, and, on average, many more alternatives to consider per move.

go-game

People have been playing Go for over 2,500 years, and yet, machines have already surpassed our greatest player.

Science fiction movies have been warning us about this for years. I just never expected them to come after our games and hobbies first.

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Puzzles in Pop Culture: Sherlock Holmes (a.k.a. The puzzle is afoot!)

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Mystery novels and stories are catnip to puzzlers, because they’re an entertaining way to exercise our deductive skills and enjoy puzzling outside our usual fare of apps, games, and paper puzzles.

And surely there’s no greater boon to the mystery-loving puzzler than the ongoing adventures of Sherlock Holmes in all his forms. Not only is there are series of feature films starring the Great Detective, but there are two television programs focusing on his singular brand of puzzling: Sherlock and Elementary.

[Note: I will be discussing both seasons of Elementary, seasons 1 and 2 of Sherlock, and the season 3 premiere. So consider this your spoiler alert.]

Beyond the normal whodunnit storytelling that frames both shows — a staple of the genre that traces back to the original Sir Arthur Conan Doyle stories and novels — there are smaller puzzles to unravel.

Perhaps the most famous from the Doyle canon is “The Adventure of the Dancing Men,” where Holmes solves a curious pictographic code in the hopes of preventing a heinous crime.

And both Sherlock and Elementary frequently return to this cryptographic trope, for both dramatic tension and storytelling twists and turns.

Episode 2 of Sherlock, “The Blind Banker,” has a cryptographic mystery at the heart of the story, one that echoes “The Adventure of the Dancing Men” and its similarly perilous stakes.

Codebreaking is also at the core of the season 2 premiere, “A Scandal in Belgravia,” as Sherlock attempts increasingly complex ways of cracking the code of Irene Adler’s phone. (There’s a marvelous scene where he introduces a dummy phone in order to copy her keystrokes is foiled when Irene realizes the dummy phone is a fake, and in turn types in a fake passcode. It’s a terrific exchange of gamesmanship.)

The cipher used in the season 3 premiere, “The Empty Hearse,” is another prime example, and one that quick-witted viewers could solve alongside Sherlock, as he and Mary decipher the message and pursue Watson’s kidnappers.

Elementary has had its fair share of codes as well. The season 2 episode “The Diabolical Kind” featured numerous techniques for coding information — from hidden spaces in seemingly innocuous drawings to elaborate letter-shifting codes akin to the Caesar cipher — all of which Holmes unraveled with ease. (Sadly, the puzzlers in the audience aren’t given much opportunity to crack the codes themselves.)

But each show has also played on the natural human ability to find meaningless patterns in chaos and interpret them as hidden messages. Sherlock‘s season 2 episode “The Hounds of Baskerville” had Watson chasing down a Morse Code message that turned out to be nothing more than flashes of light.

And Elementary‘s most recent episode had an excellent sequence where Watson read too much into a former mobster’s statement about “a mutt” who would be “in the ground tomorrow.” (Watson suspected the “mutt” referenced a suspect’s mixed ancestry, while “in the ground tomorrow” would point toward the suspect’s Jewish heritage and burial traditions.) Holmes correctly dismissed both as red herrings.

Both Sherlock and Elementary had a bit of fun exploring characters fixating on small clues, only to be misled. It’s an intriguing path to take when the main character of each show bases so many conclusions on similarly minuscule bits of data.

With such a richness of Sherlockian material on television these days, both mystery fans and puzzlers have plenty to sate their appetites.

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