|September 26, 2009||Tagged Toastmasters|
I believe that there will be big bucks in smart games. More specifically,there are several reasons why selling artificial intelligence to computer game developers could be profitable. Modern hardware (such as computers and game consoles) suffices for some intelligence. Modern games could use a lot more intelligence. And, importantly, todays game industry is a huge market. Let's look at each of these claims in more detail.
It should be noted that intelligence is a very demanding task. I have previously mentioned that your brain is about a million times more powerful than this computer. You and your brain have evolved to cope with the tremendously complex environment we call reality. But a typical computer game environment is not nearly as complex as the real world. Consequently, a game intelligence doesn't need that much power. Furthermore, new generations of video game consoles have a lot more power than they used to have. E.g., Sony's latest console, the PlayStation 3, doesn't just have one processor, but nine. With increasing parallelism it may even become possible to dedicate one or more processors entirely for AI.
Infact, The Wall Street Journal quotes John Ricitiello, the CEO of the worlds largest video game company, saying that current games are "boring people to death."
Ricitiello's company, Electronic Arts, develops the best selling computer game of all times, The Sims. This game series has already sold more than 100 million copies. The Sims is a single player game, but there are also massively multi-player online games where thousands of players interact with each other over the Internet. The largest is World of Warcraft. Its 10 million paying subscribers outnumber the 9 million citizen's in my country, Sweden! Blizzard Entertainment, who developed the game, earned 2 billion US dollars from subscription fees alone during 2008. For some comparisons, the video games industry is already larger than the movie industry.
How do you program all that hardware to do something intelligent and innovative? This is the really difficult task. I know because that's what I've been trying to do for the last seven years of my life!
Thus, modern game consoles are fast enough for AI, modern games need better AI, there's a huge market, but the typical game developer doesn't have time to spend seven years developing AI. That's why I believe selling artificial intelligence middleware to computer game developers represents a great business opportunity.
This is the reasoning behind my startup company, Boldai, to try to commercialize AI research in the games industry. If I have managed to pique your interest, you can find out more by visiting the Boldai web site where you can learn more about the company, read about our products, and view a short video demonstrating our Trick Trap iPhone game demo. At Boldai we'll do our best to help create smart games (and earn some big bucks:)
|July 30, 2009||Tagged Toastmasters|
I wonder where R2D2 and C-3PO from the Star Wars movies are. With all of the research on artificial intelligence, why don't we have robots that are anywhere near as human-like as them?
Or, where's HAL9000, the spaceship computer that Stanley Kubrick and Arthur C Clarke predicted would be here by now in their movie "2001: A Space Odyssey?" At least we should have computers that communicate fluently inEnglish, like HAL9000 did?
In fact, I would even settle for a robot that could fix me dinner and do the dishes! Why can't I just go to the nearest electronics store and buy a robotic housekeeper?
It sometimes seems like AI research has produced nothing of interest. But I suggest that there are three key facts that help explain, or dissolve, this illusion of AI's failure.
The term Artificial Intelligence was coined by John McCarthy, who is considered one of the founders of AI. He coined the term in 1956 while organizing the very first conference on the topic, which has become known as the "Dartmouth Conference" because it was held at Dartmouth, Massachusetts.
And the founder, John McCarthy, is still an active researcher and professor at Stanford. In fact, he was present at the Commonsense Symposium in Stanford, which I attended in 2007. The fact that I could present a research paper with the founder of the field in the audience helped me grasp how young the field really is.
We can get some idea of the speed of computers compared to the speed of animal brains by estimating how much information a neuron can process and how many neurons there are in a given brain. Hans Moravec has done so and found that today's powerful personal computers are comparable to insect brains. A human brain is about a million times more powerful than today's computers.
But hardware is quickly improving. Moore's law predicts an exponential improvement of PC performance. If it holds up, we can expect PCs with the capacity of a mouse brain by 2010 and human-level capacity before 2025.
The AI effect is the unfortunate (at least for AI researchers) observation that as soon as something that seemed to require intelligence has been implemented in a computer, it doesn't seem intelligent anymore. When you look at the algorithm, it's just doing calculations, none of which seems very "intelligent" by itself.
For example, chess used to be seen as a game that requires intelligence. Many thought that a computer could never beat humans at chess because computers can't be intelligent.
Well, in 1997 IBM's DEEP BLUE computer beat the human world chess champion, Garry Kasparov. But no one said "Wow, look at that, we now have intelligent computers!" Instead they said "Well, chess doesn't really require that much intelligence. It just requires evaluating a lot of possible moves and selecting the best one."
These three factors, the fact that AI is still a very young research field, the fact that our computers are still much too slow, and the fact that we tend to explain away the progress that we do make, help explain our impatience with the progress of AI research.
Yes, there was some early overoptimism, like Kubrick and Clarke's movie 2001 that predicted computers would speak fluent English by now. But we should not replace premature optimism by equally premature pessimism. The greatest achievements of AI are still to come. And I believe that, if you keep your eyes on the development of AI in the near future, you will be witness to some truly amazing things!
|June 27, 2009||Tagged Toastmasters|
Do you ever play computer or video games? Let me ask you - what's the point of playing games? It seems pretty pointless. It's just a pastime. A waste of time. And I should know because I've wasted many hours playing computer games.
Why, then, am I grateful for having wasted my time with computer games?
It's been said that nothing has any meaning, except for the meaning you give it. I have found a way to give meaning to what would otherwise appear to have been a waste of time.
But let me start by telling you how I got interested in computer games in the first place. It all started with a SEGA 8 bit video game console that I bought while in elementary school. Included in the package was a game called Wonderboy III. It was a classic side scrolling platformer. As the game progressed, your character turned in to different animal forms, each with different capabilities. I really loved that game and spent countless hours playing.
But video game consoles were quite limited. My friends in junior high all had computers! Naturally, I wanted a computer too. I saved up for an Atari, later traded it in for an Amiga, and finally spent all my money on a PC. A vast number of games had been developed for each of these platforms.
In high school I chose a special study track that was a mix between regular classes and distance learning home study courses. We spent less time in school and more time in "independent study." This was a tremendous opportunity, to play more computer games. In fact, none of us made much effort at independent study, and the headmaster canceled the study track from the curriculum the very next year!
When I got to Linköping University, class attendance was not even required. That meant as much free time as you wanted. Of course, it also meant that you suddenly had a lot more responsibility, a concept we didn't fully grasp. A friend of mine dropped out after two semesters full time study, of Quake.
But all this game playing had another effect on me, apart from wasting my time. I got very curious about how games work and wanted to find out how to make my own games.
As it turns out, games are programs. To make your own games you have to learn programming, which is really quite hard. In fact, programming games requires an even greater investment of time than just playing games. Soon I was more interested in developing games than in playing them, andI envisioned a future career as a game developer. That's why I came to Linköping to study computer science.
But it was while studying computer science that I found my true calling - artificial intelligence, i.e. programming computers to make them smart. After working a couple of years at the artificial intelligence department at the university I decided to become a PhD student and earn a PhD in artificial intelligence.
By that time I had all but given up my interest in computer games. But I had never quite forgotten how much fun games can be! And, a couple of years ago, I discovered a way of integrating games into my life once again. My idea was to apply my artificial intelligence research to computer games. I could try to make the characters in computer games smart, and thereby make the games much more interesting and challenging. Much more fun!
Thinking back, I have come to realize that it all started with those first computer games. Even though all that time playing all those games looked like a senseless waste of time, it was those games that got me interested in computer programming, and ultimately in artificial intelligence, which is my passion.
That is the meaning I have assigned to games. And that is why I am grateful for having "wasted" my time with computer games. In the end, what started out as just fun and games, has turned into making games that are more fun.