It’s been quite a while since I’ve read Dune. I found my way to this interesting conceptualization, Sietch Nevada, through my regular StumbleUpon clicking. For those not familiar with Dune by Frank Herbert, please check it out! It is an excellent novel, as described in my review. I find it interesting how many ideas are drawn from Sci-Fi. Everyday technology like cell phones, video conferencing, and robots (well maybe not everyday yet), were hinted to by authors long before they were developed. I find the Sietch concept intriguing because I lived in Phoenix, AZ for many years. A few years after I left, I started hearing about how Lake Powell, fed by the Colorado River, might dry up soon. I thought that it meant there would be no more water, but experts are referring to “dry” as unable to generate hydroelectric power. So, not only will water levels be low, but there could be power shortages as well!
In the order of publishing, Foundation’s Edge represents a return by Asimov to the Foundation novels dating back to 1950. This was the novel in which he officially linked the Robot Novels, Empire Novels, and Foundation Novels together into one universe. I believe it was this choice that helped him to win the Hugo Award for Best Novel in 1983. I liked Foundation’s Edge, but I prefer Foundation and Empire’s “The Mule” or Second Foundation’s “Search by the Foundation” to this book. Actually, while researching the Hugo Award for this novel I found out that according to Wikipedia, The Mule (1946) [part 2 of Foundation and Empire] received one of only three “Retro Hugo” awards.
As with most of the other Foundation novels, Foundation’s Edge follows the events of the Foundation (oddly not usually referred to as the First Foundation) and the Second Foundation. The Foundation plot line follows Golan Trevize, a councilman on Terminus, the capital of the Foundation Federation. A Seldon crisis has just passed involving a dispute over whether or not to move the capital of the Foundation Federation to a world closer to the center of the galaxy. Seldon appeared in the time vault and described what had taken place with eerie accuracy. How could Seldon have predicted with such accuracy almost 500 years into the future especially when The Mule had wreaked such havoc to the Plan? (more…)
For all of you geeks that have had your head in the sand, artificial intelligence has hit a milestone. Yesterday, IBM’s Watson trounced these bags of meat known as Ken Jennings and Brad Rutter in Jeopardy. If I ruined the result of the match, I apologize, but I figure posting a day after is enough notice for anyone that was following this from the start. For some more background on Watson and behind the scenes info, check out my original post on this. I have to admit that I was rooting for Watson from the start. I was a bit worried when after the first day in the tournament Watson was only tied for first place. I’m not sure what happened between the first and second matches, but Watson rocketed ahead in the second day and never looked back.
I think IBM might have been in a rush to show off their new creation. It was interesting to see the answer confidence levels during the rounds, often revealing some really wacky possible answers. Watson crashed several times during the second day of filming, nothing a regular viewer would notice while watching the recorded match on TV. One criticism I’ve heard about the match was that Watson was fed the questions electronically rather than relying on voice and character recognition. I have to agree that the electronic delivery could have been an advantage. Had voice recognition and OCR functionality been used in Watson, the victory would be quite a bit more impressive. I could clearly see the two mere mortals struggling to buzz in and shake in frustration when Watson was faster. The producers touted the physical buzzer plunger that Watson had to activate, but I still think that Watson had the advantage.
I would be interested to see a rematch in a year but with only inputs into Watson be voice and video of the Jeopardy board. After all, Deep Blue was given a second chance versus Garry Kasparov, so why not give the humans a second chance on more equal footing? It is quite possible that programming algorithms over the year would improve enough so that Watson still would win, despite the reliance of voice recognition and OCR. In that case, the victory would mean that much more. Even if you know the outcome already, I still recommend watching the matches. I already saw the Nova special, so I skipped through most of the background stuff from the IBM folks. Here is a link to my YouTube playlist that has the three episodes broken into 6 videos. Check it out! Then you can tell your grandchildren how you watched a computer beat humans in Jeopardy for the first time. Then they’ll ask, “Humans were allowed to play Jeopardy back then?”
Ever since I first read I, Robot by Isaac Asimov I have been interested in robotics and AI. Back in 1996 or so I had no idea that simulation of a brain might be possible in my lifetime. John Lehrer with Seed Magazine has written a very interesting article, “Out of the Blue“, which covers the Blue Brain project led by Henry Markram. One of the biggest challenges was determining how exactly a neuron is supposed to behave. Without that information, it would be impossible to simulate it. One of the freaky things about this project is that they have a robot conducting experiments and recording data 24/7. This robot is more efficient than 10 experienced lab technicians combined. I would assume that this robot only has enough programming to complete these experiments, but what if robots become sentient? What would keep them from creating other more capable robots? The current project aims to first simulate the brain of a 2 week old rat, which would then be transferred to a robot body to see how it develops.
With the current progression of technology, Markram suggests, “In ten years, this computer will be talking to us.” That seem a bit crazy, but who would have thought 10 years ago that there would technology capable of simulating 10,000 neurons and 30 million synaptic connections? That currently only represents a small slice of a 2 week old rat brain, but given how fast computing power is growing, I can’t see why Markram’s prediction would be impossible. If not 10 years from now, why not 20, or 30? I think that it is just a matter of time. I highly recommend reading the full article, especially if you have any interest in robotics or AI.
