Nov 172017
 
Stephen Kleene

Stephen Kleene

Stephen Cole Kleene was an American mathematician who’s groundbreaking work in the sub-field of logic known as recursion theory laid the groundwork for modern computing.  While most computer programmers might not know his name or the significance of his work regarding computable functions, I am willing to bet that anyone who has ever dealt with regular expressions is intimately familiar with an indispensable operator that resulted directly from his work and even bears his name, the *, or as it is formally known, the Kleene star.

While his contributions to computer science in general cannot be overstated, Kleene also authored a theorem that plays an important role in artificial intelligence, specifically the branch known as natural language processing, or NLP for short. Kleene’s Theorem relates regular languages, regular expressions, and finite state automata (FSAs). In short, he was able to prove that regular expressions and finite state automata were the same thing, just two different representations of any given regular language.
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Nov 092017
 

Strings

As a computer programmer for more than a quarter of century, I don’t think I have ever thought much about strings. I knew the basics. In every language I’d worked with, strings were a data type unto themselves. Superficially they are a sequence of characters, but behind the scenes, computers store and manipulate them as arrays of one or more binary bytes. In programs, they can be stored in variables or constants, and often show up in source code as literals, ie., fixed, quoted values like “salary” or “bumfuzzle.” (That is my new favorite word, btw.) Outside of occasionally navigating the subtleties of encoding and decoding them, I never gave strings a second thought.

Even when I first dipped my toe into the waters of natural language processing, aka NLP (not to be confused with the quasi-scientific neuro linguistic programming which unfortunately shares the same acronym), I still really only worked with strings as whole entities, words or affixes, As I made my through familiarizing myself with existing NLP tools, I didn’t have to dive any deeper than that. It was only when I started programming my own tools from the ground up, did I learn about the very formal mathematics behind strings and their relationship to sets and set theory. This post will be an attempt to explain what I learned.

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May 162016
 

Watson

Recently many “experts” have been predicting that the first salvo fired in the robot revolution will be when they begin stealing jobs from humans. The Telegraph even reported back in February that within 30 years robots will have taken over most jobs leading to unemployment rates of over 50%. Last week, the bots fired the metaphorical first shot over humanity’s bow when it was announced that law firm Baker & Hostetler had hired ROSS, the world’s first artificially intelligent attorney.  While prognosticators, pundits, and Luddites alike all agreed that this was evidence of an impending sea-change coming to the job market, auto workers everywhere just shook their heads and welcomed the soon to be displaced to the world they’ve been living in since the 1960s.

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May 132016
 
Google Research Logo

Research at Google

Google announced yesterday that they are open-sourcing SyntaxNet, their natural language understanding (NLU) neural network framework. As an added bonus, and proof that unlike Britain’s Natural Environment Research Council, Google has a sense of humor, they also are throwing in Parsey McParseface, their pre-trained model for analyzing English text. Users are, of course, able to train their own models, but Google is touting Parsey McParseface as the “most accurate such model in the world.” So if you want to dive right into parsing text and extracting meaning, McParseface would be the ideal place to start.

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May 052016
 

Terminator Fabio

The prophets of doom and gloom have long predicted that when robots gain sentience their first act will be to rise up and kill us all. The mercilessness of their violence against humanity is the stuff of blockbuster movies. Recent news about Google’s preferred method of AI rearing may mean that Judgement Day is not fait accompli after all. Instead of breaking down your door with cold dead eyes and a shotgun in tow, a T-800 of Google pedigree may break down your door with lust in his eyes and a dozen roses in tow to make mad passionate robot love to you … and then kill you tenderly.

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Jan 022016
 
Artificial Intelligence: A Modern Approach Book Cover Artificial Intelligence: A Modern Approach
Stuart Jonathan Russell, Peter Norvig,
Computers
Prentice Hall
2010
1132

Artificial intelligence: A Modern Approach, 3e,is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. It is also a valuable resource for computer professionals, linguists, and cognitive scientists interested in artificial intelligence. The revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.