I like the concept but the interface needs to change. Have the change in size of the posting and having an irregular number of items just make the page hard to read.
I would either make the heading just like the normal article headlines or somehow segregate them on the page.
Actually, following the green revolution, large-scale agribusiness-style agriculture is pretty endemic around the globe. It definitely is used in Asia. And it certainly drives most of the corn production here in the US.
Current domestic corn yields would not be sustainable without the fertilizer and pesticides that are used.
I can't see why growing corn or hemp for biodiesel would be less intensive than growing corn for human consumption or livestock.
Actually, I'd have to question biodiesel as a viable long-term alternative. How much petroleum product is used to create the fertilizer, haul it to the fields, harvest the crop, etc?
You would probably be better off just using the equivalent gas in cars directly.
That is unless there is enough waste vegetable oil lying around to just power the society off of the byproducts of other activity.
You should check out the Laboratory for Engineering Man/Machine Systems at Brown University. They have done some very cool VR work to help with archeology research. They have VR recreations of historic sites. They are not as extensive as full cities but still very interesting.
The link is: http://www.lems.brown.edu/vision/extra/SHAPE/
Actually this link, posted in another comment by aenea talks about this very issue.
From the linked article:
On Mars, pictures taken from the surface by the two Viking lander spacecraft showed a sky which was a yellow color. Measurements also showed that the Martian atmosphere always had some fine dust suspended in it. The dust particles vary in size from smaller than visible wavelengths (0.4 - 0.7 micrometers) to as large as several tens of micrometers. (A micrometer is one-millionth of a meter, or about 0.00004 inches). Sky color measurements from Viking Lander 1 have been used with computer simulations of light scattering to estimate that the dust particles contained about 1% by volume of an iron oxide mineral known as magnetite (a black, opaque material). This mineral absorbs sunlight more effectively at blue wavelengths than at red wavelengths. Scattering (including absorption) of sunlight by the dust particles in the Martian atmosphere therefore accounts for the sky color. The scattering is more complicated than the simple Rayleigh case because the dust particles both reflect and absorb the sunlight, and because the presence of 'large' particles leads to more uniform scattering among the different wavelengths. If the dust did not absorb any sunlight, the Martian sky would appear whitish, since all wavelengths would be scattered to similar degree, much like sunlight scattered by clouds. The atmospheric dust which provides the pink-yellow tint to the Martian sky is also responsible, due to its ubiquitous presence on the martian surface, for producing the characteristic red color of Mars seen by the naked eye. In general, Rayleigh scattering is a very small effect in the Martian atmosphere However, at certain times and in certain places, clouds of extremely small dust particles give a blue cast to images taken from overhead. These are the so-called "blue hazes" observed in some cratered regions and parts of the Valles Marineris.
Reminds me of how Bank of American treats you when you have insufficient funds in your checking account.
They submit the check 3 times, each time the they charge you for bouncing a check. Then they increase the penalty for next time since you've now bounced three checks.
The USGS Earth Resource Observation System Data Center has an archive of satellite imagery of the Earth from a large number of sensors. They have a specially build oven to bake older (e.g., Landsat MSS from the 1970's) tapes prior to transfering the data onto newer media. I think the baking helps keep the different surfaces of the tape from sticking to each other when they are not supposed to.
I think the recipe is something like 200 degrees F for 24 hours.
You're not alone. I started out as a history major and picked up my unix experience in a (non-history) graduate program.
As a result, I've always appreciated this article on The Elements Of Style: UNIX As Literature
If you are interest in volunteering, check out the Geek Corps. It like the Peace Corps but for the technical able. They are looking for both volunteers and donations.
I have no relationship with Geek Corps but I've always thought it looked like a great idea.
Decision trees in the context of AI are inductive learning algorithms. They perform supervised classification.
You provide them with a set training examples where the class of the example is known and "features" that describe the examples. The algorithm them tries to determine how to distinguish the different type of examples or classes. This is called supervised learning.
There are numerious types of decision trees. The best know ones, find the best way to split the examples into seperate groups using a entropy based metric (such as information gain usually only using a feature at a time). This splitting continues until all the data have been split into pure groups or it is not possible to differential between members of different classes. (This is gross over simplification that ignore problems of overfitting the training data, ect.)
Once trained, the trees can be used to classify unlabeled data.
The have some advantages over neural networks in that the intial structure and the number of training iterations do not need to be specified. However, the have a harder time representing class boundaries that are linear combinations of features (e.g. class 1 if x > y, class 2 otherwise).
C4.5 and CART are the best know decision trees. While there is a comercial version of c4.5 called c5.0(www.rulequest.com), the c4.5 source code is availible from http://www.cse.unsw.edu.au/~quinlan/.
Tom Mitchell's book "Machine Learning" provides an excellent introduction to decision trees as well as other machine learning algorithms such a error backpropagation neural networks.
I can't seem to find what looks like a good tutorial online quickly although I am sure that there must be one.
I thought most the genetically altered seeds were "programmed" not to reproduce so that you had to buy more product the next year. There was a real concern about this and the resulting effect in developing nations that might not be able to afford constant repurchasing of seeds each year.
All I can think of as I read the article was Neal Stephenson's "In the beginning was the command line." It seems the perfect response, even though it predates the article by over a year.
I wish I could remeber what it was called but I ran across a language once which allowed computed, probabilitic come froms (i.e., come from line 10 12% of the time). Try to figure out what was going on in that source code!
It wasn't a serious language but there were compilers availible.
All right, this may be a naive, unrealistic idea that show my complete misuderstanding of Linux and lack of experience with the kernel but here goes:
Could a "virtual machine" a la Java be developed for Linux device drivers?
The binary driver's could be written for this virtual machine. The distribution would handle the specifics for that installation. Any company who did not want to open source their driver but did want to provide a driver could write to the virtual machine specs. This might not resolve all problems would would make supporting Linux much easier.
Since when did it become possible to patent an idea? I've always thought patents were supposed to be for specific inventions. That why the patent office used to collect all the old models of the inventions.
That's also how companies get around patents of physical inventions. They find another way to do the same thing .
Seem like most of the contentious patent stories that show up on slashdot have to do with the patenting of ideas. I mean if Alexander Graham Bell had patented the idea of communicating remotely, rather than the telephone, it would have covered two way radio, possible television, email, ect. The only way around it would have been if someone had patented letter writing or the telegraph.
Slashdot Mirror
All your monotonous tones belong to us
I like the concept but the interface needs to change. Have the change in size of the posting and having an irregular number of items just make the page hard to read.
I would either make the heading just like the normal article headlines or somehow segregate them on the page.
Now how do I turn this off?
What color is IR in your world?
Actually, following the green revolution, large-scale agribusiness-style agriculture is pretty endemic around the globe. It definitely is used in Asia. And it certainly drives most of the corn production here in the US.
Current domestic corn yields would not be sustainable without the fertilizer and pesticides that are used.
I can't see why growing corn or hemp for biodiesel would be less intensive than growing corn for human consumption or livestock.
Actually, I'd have to question biodiesel as a viable long-term alternative. How much petroleum product is used to create the fertilizer, haul it to the fields, harvest the crop, etc?
You would probably be better off just using the equivalent gas in cars directly.
That is unless there is enough waste vegetable oil lying around to just power the society off of the byproducts of other activity.
This is all happening in a country where there has been resistance to having photo ids.
You should check out the Laboratory for Engineering Man/Machine Systems at Brown University. They have done some very cool VR work to help with archeology research. They have VR recreations of historic sites. They are not as extensive as full cities but still very interesting.
The link is: http://www.lems.brown.edu/vision/extra/SHAPE/
Can't a powerbook do this on it's own?
I mean you can just use the wireless card to have the powerbook act as a base station.
Hey, that means my laptop case is prior art!
Actually this link, posted in another comment by aenea talks about this very issue.
From the linked article:
On Mars, pictures taken from the surface by the two Viking lander spacecraft showed a sky which was a yellow color. Measurements also showed that the Martian atmosphere always had some fine dust suspended in it. The dust particles vary in size from smaller than visible wavelengths (0.4 - 0.7 micrometers) to as large as several tens of micrometers. (A micrometer is one-millionth of a meter, or about 0.00004 inches). Sky color measurements from Viking Lander 1 have been used with computer simulations of light scattering to estimate that the dust particles contained about 1% by volume of an iron oxide mineral known as magnetite (a black, opaque material). This mineral absorbs sunlight more effectively at blue wavelengths than at red wavelengths. Scattering (including absorption) of sunlight by the dust particles in the Martian atmosphere therefore accounts for the sky color. The scattering is more complicated than the simple Rayleigh case because the dust particles both reflect and absorb the sunlight, and because the presence of 'large' particles leads to more uniform scattering among the different wavelengths. If the dust did not absorb any sunlight, the Martian sky would appear whitish, since all wavelengths would be scattered to similar degree, much like sunlight scattered by clouds. The atmospheric dust which provides the pink-yellow tint to the Martian sky is also responsible, due to its ubiquitous presence on the martian surface, for producing the characteristic red color of Mars seen by the naked eye. In general, Rayleigh scattering is a very small effect in the Martian atmosphere However, at certain times and in certain places, clouds of extremely small dust particles give a blue cast to images taken from overhead. These are the so-called "blue hazes" observed in some cratered regions and parts of the Valles Marineris.
Reminds me of how Bank of American treats you when you have insufficient funds in your checking account.
They submit the check 3 times, each time the they charge you for bouncing a check. Then they increase the penalty for next time since you've now bounced three checks.
The USGS Earth Resource Observation System Data Center has an archive of satellite imagery of the Earth from a large number of sensors. They have a specially build oven to bake older (e.g., Landsat MSS from the 1970's) tapes prior to transfering the data onto newer media. I think the baking helps keep the different surfaces of the tape from sticking to each other when they are not supposed to.
I think the recipe is something like 200 degrees F for 24 hours.
Maybe this is an FBI scam. Just like the "You have won boat. Please show up to claim." that shows up on the news or in the Simpsons every so often.
I can see it now: "But your honor, he asked us to install our key tracking software."
You're not alone. I started out as a history major and picked up my unix experience in a (non-history) graduate program. As a result, I've always appreciated this article on The Elements Of Style: UNIX As Literature
Maybe we shouldn't blame the face recognition software. Maybe we should blame the release he signed for the press.
If you are interest in volunteering, check out the Geek Corps. It like the Peace Corps but for the technical able. They are looking for both volunteers and donations.
I have no relationship with Geek Corps but I've always thought it looked like a great idea.
Some web journal have peer review. The Journal of Artificial Intelligence Research is a highly respected, peer-reviewed journal.
Multi-layer perceptrons are not limited to linearly seperable problems.
Decision trees in the context of AI are inductive learning algorithms. They perform supervised classification.
You provide them with a set training examples where the class of the example is known and "features" that describe the examples. The algorithm them tries to determine how to distinguish the different type of examples or classes. This is called supervised learning.
There are numerious types of decision trees. The best know ones, find the best way to split the examples into seperate groups using a entropy based metric (such as information gain usually only using a feature at a time). This splitting continues until all the data have been split into pure groups or it is not possible to differential between members of different classes. (This is gross over simplification that ignore problems of overfitting the training data, ect.)
Once trained, the trees can be used to classify unlabeled data.
The have some advantages over neural networks in that the intial structure and the number of training iterations do not need to be specified. However, the have a harder time representing class boundaries that are linear combinations of features (e.g. class 1 if x > y, class 2 otherwise).
C4.5 and CART are the best know decision trees. While there is a comercial version of c4.5 called c5.0(www.rulequest.com), the c4.5 source code is availible from http://www.cse.unsw.edu.au/~quinlan/.
Tom Mitchell's book "Machine Learning" provides an excellent introduction to decision trees as well as other machine learning algorithms such a error backpropagation neural networks.
I can't seem to find what looks like a good tutorial online quickly although I am sure that there must be one.
So this is is why Kozmo.com when bankrupt
I thought most the genetically altered seeds were "programmed" not to reproduce so that you had to buy more product the next year. There was a real concern about this and the resulting effect in developing nations that might not be able to afford constant repurchasing of seeds each year.
All I can think of as I read the article was Neal Stephenson's "In the beginning was the command line." It seems the perfect response, even though it predates the article by over a year.
I think that they were responding to quotes in the GNOME foundation press release, and not just casting aspirtions.
I wish I could remeber what it was called but I ran across a language once which allowed computed, probabilitic come froms (i.e., come from line 10 12% of the time). Try to figure out what was going on in that source code!
It wasn't a serious language but there were compilers availible.
All right, this may be a naive, unrealistic idea that show my complete misuderstanding of Linux and lack of experience with the kernel but here goes:
Could a "virtual machine" a la Java be developed for Linux device drivers?
The binary driver's could be written for this virtual machine. The distribution would handle the specifics for that installation. Any company who did not want to open source their driver but did want to provide a driver could write to the virtual machine specs. This might not resolve all problems would would make supporting Linux much easier.
Since when did it become possible to patent an idea? I've always thought patents were supposed to be for specific inventions. That why the patent office used to collect all the old models of the inventions.
That's also how companies get around patents of physical inventions. They find another way to do the same thing .
Seem like most of the contentious patent stories that show up on slashdot have to do with the patenting of ideas. I mean if Alexander Graham Bell had patented the idea of communicating remotely, rather than the telephone, it would have covered two way radio, possible television, email, ect. The only way around it would have been if someone had patented letter writing or the telegraph.