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#26 |
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#27 | |
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So in other words, human brains are way ahead in the software department. For now.... *queue ominous music* |
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#28 | |
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TPU addict
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And just like humans we will not do any thing about it until it's near to late. |
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#29 | |
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anyhow, too late for what? |
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#31 |
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Cool, keep this up and I could donate my DNA the day I die. Then I will live on muahahahaha.
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#32 | |
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. scary thoughts, then we'd get pc's with personalities. Higher premiums for the hardworking computers, then there'll be el cheapo lazy
__________________
My Heatware “MRCL:What if Jesus came by and Apocalypse actually would happen?
Weer:Then I'd be more afraid that other works of fiction would come true, such as Harry Potter.”
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#33 | |
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#34 |
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Banstick Dummy
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You guys trip me out. Do you really think any CPU in the planet can compete with a brain? Honestly? Do you have any concept on how complex the human brain is?
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#35 |
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technically no one does right?
__________________
My Heatware “MRCL:What if Jesus came by and Apocalypse actually would happen?
Weer:Then I'd be more afraid that other works of fiction would come true, such as Harry Potter.”
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#36 | ||
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TPU addict
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There is one for blind people too if i remember correctly. Yep we fail at near every thing, except destroying every thing and ironic enough it be us who destroys us. Quote:
Sooner or later it will happen.. And we know we can do it if we learn enough as technology advancements will allow us more ways to do it. |
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#37 |
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Computers are already at the starting edge of being able to "read" our thoughts through pattern recognition.
Some argue that we are all capable of solving very complex math problems, it's just that we don't know we are doing it. The most common example given is the ability to catch a ball thrown at you. You have to figure out how fast the ball is going, the path it is taking, and then where to put your hand to catch it. There are many variables in this that are also calculated. All of the data is input and calculated in fractions of a second and updated to the very split second the ball is in our hand. All very simple, we do it every day, but it requires complex computations to pull it off. |
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#38 | ||
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"I go fast!1!11!1!"
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Humans can't get even close because, figuratively speaking, 0-9 are alien concepts to the brain. The brain must calculate a quantity and assign it a value then interpret the value via language, announce it, and repeat. In this regard, the brain operates about 240,000,000 times slower than a Core i7 920. Both have distinct advantages and disadvantages. Neural networks (brains) have the ability to store, interpret, and recall images at a rate at least three times faster than a CPU. The more complex the image, the greater the lead. Neural networks also have the ability to learn and repair damage (to some extent) which CPUs do not. Neural networks are pretty lousy at math though where CPUs kick ass. No doubt, a merger of the two would be ideal but that means heading into territory I'm not so certain we should be (you've seen or at least heard of all the sci-fi material out there depicting the possibilities). Oh, computers can't make an curve either--especially with digital monitors. ![]() Quote:
Take, for example, a puppy. You don't have to teach it all of the concepts of math to make it catch a ball. You have to toss a ball at its face until it figures out it has to open its mouth and catch it. Do that for a few days and, if the dog is coordinated enough, it can pull off some pretty remarkable moves to catch that ball in short time. Not because it understands how gravity works--it understands how you throw it. Throw it a different way like put a curve on it and, just like a batter, there's a good chance it won't be able to catch it. The brain either can't register the rotation of the ball fast enough or the eyes simply can't pick up the detail to make that decision. Either way, dog and human alike are fooled. Throw a curve ball every time and viola, both hit/catch it. Acting out expectations is a simple task for a brain to achieve (requires no "computations"). A computer, on the other hand, could use a high speed camera to tell you the trajectory of a ball just by watching the laces and position of the ball over a few frames. The only difficulty there is programming the computer to "find" the ball and then "find" the laces. The calculations are readily handled by the CPU's architecture with some simple instructions based on fluid dynamics, velocities, and accelerations.
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Golden Rule of Programming: Never assume. try { SteamDownload(); } catch (Steamception ex) { RageQuit(); } Last edited by FordGT90Concept; Aug 18, 2009 at 07:03 AM. |
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#39 |
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I did not say that the person or animal understood gravity or physics. The theory is that we are calculating these variables on a level not quite understood.
Stepping off of a cliff is confusing instinct with rational thinking. In tests done with newborns, it was shown that the baby's would not cross over a perceived drop of a few feet even though the drop off was covered by a sheet of glass. The baby's would go right up to the edge and stop. It knew instinctively that it was a dangerous situation. It's instinct warned it of a drop off but it could not at this point in time know or comprehend glass. The incentive used to try and get the baby's to cross was the Mom on the other side with a bottle. Definitely not a learned response. As to the math side of it, we may not be figuring out the paths in the traditional sense, but calculations are none the less being performed. Dug this up. So how does the same gooey substance simultaneously acquire visual data, calculate positional information, and gauge trajectory to let a lizard’s tongue snatch a fly, a dog’s mouth catch a Frisbee, or a hand catch a falling glass? “With the thousands of muscles in the body, the motor cortex clearly isn’t ‘thinking’ in any sense about movement,” says UC San Diego neuroscientist Patricia Churchland. According to Stanford University’s Krishna Shenoy, the brain seems to create an internal model of the physical world, then, like some super-sophisticated neural joystick, traces intended movements onto this model. “But it’s all in a code that science has yet to crack,” he says. Whatever that code is, it’s not about size. “Even a cat’s brain can modify the most complicated motions while executing them.” |
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#40 |
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#41 | |
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LMAO ahh Can't disagree there
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#42 | |
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http://www.ocztechnology.com/product...pulse_actuator |
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#43 |
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#44 | ||
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"I go fast!1!11!1!"
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However, a computer can be programmed to learn from repetition. For instance, if you take a robot arm and tell the computer to record the movements as you guide the arm along a path, the computer can repeat that path. If you throw the ball to the same place all the time, it could catch it every time. The only reason why they don't behave like humans is because they process everything differently from humans (binary instead of neurons). Quote:
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#45 | |
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It's the Sperminators I'm worried about...
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#46 |
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It's not that far off, they're already copulating amongst themselves and procreating. Soon they'll turn their ways on us!
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“If you don't dip your words in sugar, rainbows and teddy bears people will think you wish to hunt them down to torture and eventually kill them.” -DanTheBanjoman |
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#47 | |
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Banstick Dummy
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#48 | |
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There are of course exceptions. You learn what can and can not burn you, etc. I at no time stated that the brain worked like a computer. I said that the brain was doing the calculations on a level and in a way that we do not understand. It absolutely is doing these calculations as, we will stick with the ball, it is able to figure out/calculate variables. If a gust of wind catches the ball at the last second, the brain will recalculate the flight path and move the hand to catch the ball. The brain can miscalculate and not catch the ball just as a computer can miscalculate due to the input, sensory or binary, being wrong. We become better at catching the ball through repetition not because of the repetition, but because the brain is learning that the ball will not always follow the calculated path. One thread (ha ha) is calculating the flight path, while another one is waiting for a variable and will then recalculate and supersede the first one if a variable is introduced. I will give you that catching a ball is somewhat learned as it is instinct to get out of the way when something is thrown at you. You sometimes do not get out of the way in time due to slow reaction, fear or other reasons. The computer, which for all intents and purpose is nothing more than a glorified abacus, is so vastly inferior to the brain, not on the 1+1=2 scale, but on the "aha, I've got it" scale, that it will be centuries before it is even close to cognitive thinking. |
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#49 | ||
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The entire concept of math/algebra is used to describe what happens around us; not in any way control it. The decimal system represents an epic fail with arcs, zero, and on the quantum level. The world doesn't run on numbers--we try to stick numbers on everything to make it appear less chaotic. It also gives a sense of control over it which in turn suppresses fears. Numbers still don't define nature--they aren't the lowest common denominator. Quote:
The swing itself is controlled through experience. This is why a different bat than usual can really screw a batter up. On the other hand, if you give a bat to a robot, it can calculate the weight distribution of the bat and all the optics can be set up to never miss. Humans (margin of error) never operate on a degree of exactness that computers always operate on (zero errors, only operator/programmer error). Computer's expertise is binary; the brain's expertise is recognizing food, threats, and genetic compatibility. A computer can do what the brain can do inefficiently and the brain can do what computers do inefficiently. Leave the thinking to humans and the calculating to computers.
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Golden Rule of Programming: Never assume. try { SteamDownload(); } catch (Steamception ex) { RageQuit(); } Last edited by FordGT90Concept; Aug 23, 2009 at 11:49 PM. |
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#50 | |
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Banstick Dummy
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