14 OCT 2013 by ideonexus

 The Problem of Machine-Aggregated Knowledge

he nuts and bolts of artificial-intelligence research can often be more usefully interpreted without the concept of AI at all. For example, in 2011, IBM scientists unveiled a “question answering” machine that is designed to play the TV quiz show Jeopardy. Suppose IBM had dispensed with the theatrics, and declared it had done Google one better and come up with a new phrase-based search engine. This framing of exactly the same technology would have gained IBM’s team as much (deserved) rec...
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If an AI works by aggregating the works of the sum total of human knowledge, should the humans that discovered that knowledge be compensated? Science works the same way, but ideas remain free.

13 APR 2013 by ideonexus

 The Three Phases of a Chess Game

A chess game, like everything else, has three parts: the beginning, the middle and the end. What’s a little different about chess is that each of these phases tests different intellectual and emotional skills, making the game a mental triathlon of speed, strength, and stamina. In the beginning of a chess game the center of the board is void, with pawns, rooks, and bishops neatly aligned in the first two rows awaiting instructions from their masters. The possibilities are almost infinite. W...
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And how computers do in processing them versus a human's intuition.

04 JAN 2012 by ideonexus

 How IBM's Watson Pattern-Matches to Answer Trivia

The way Watson plays the game also requires massive amounts of pattern matching. The supercomputer has been loaded with hundreds of millions of unconnected digital documents, including encyclopedias and other reference works, newspaper stories, and the Bible. When it receives a question, it immediately goes to work to figure out what is being asked (using algorithms that specialize in complex communication), then starts querying all these documents to find and match patterns in search of the ...
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And how it does it so fast.

21 APR 2011 by ideonexus

 Guy Steele: Computers are Too Complex to Know it All

I guess to me the biggest change is that nowadays you can't possibly know everything that's going on in the computer. There are things that are absolutely out of your control because it's impossible to know everything about all the software. Back in the '7Os a computer had only 4,000 words of memory. It was possible to do a core dump and inspect every word to see if it was what you expected. It was reasonable to read the source listings of tine operating system and see how that worked. And I ...
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It was once possible to know all aspects of the computer, but the system has grown too large and complex for that now.

21 APR 2011 by ideonexus

 Fran Allen Sees Computer Science as Science

Seibel: Do you think of yourself as a scientist, an engineer, an artist, or a draftsman? Allen: I think of myself as a computer scientist I was involved in my corner of the field in helping it develop. And those were interesting times—the emergence of computer science—because there was a Ic lot of question about, "Is this a science? Anything that has to have science in its name n't a science." And it was certainly unclear to me what it meant. But compilers were a very old field—olde...
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Allen started out as a programmer, but became a scientist to perform her job well.