How Does Artificial Intelligence Work?



Artificial intelligence is a phrase that will get you different reactions in different circles. In the tech world, it’s the next big thing that will take society beyond anything we could have imagined. For doomsdayers, it’s a future filled with robots destroying everything we’ve worked for. A lot of fear comes from the unknown, so to dispel any wild ideas and begin to think about the true power of AI, let’s find out how it works.



1. The goal of artificial intelligence is to allow machines to replicate human reasoning.
First, why AI? Why are we putting so much effort into it? The intention of artificial intelligence is to be able to give machines the ability to “think” like we do. Human cognitive abilities are complex and convoluted, which makes training a machine more difficult. The reason we use machines is to help us get things done, and the less we have to baby them through more difficult projects that require a level of intelligence, the more we can accomplish.



2. Everything’s in the data.
AI learns through data. Data is at the heart of the operation, and any type of artificial intelligence is only as good as the information it is given. Algorithms tell the machine how to work through that data, and the algorithms are created by people to solve a problem. Artificial intelligence works according to the steps outlined by the algorithm in order to process the data. Over time, the AI will learn to identify patterns which can help it work more efficiently.

3. The possibilities in AI are endless.
There are many subfields of AI, and they all have their own applications and methods of teaching the AI. Deep learning, for example, is the hot topic currently, and it can be applied to speech and image recognition. The future of AI is only growing, and it will continue to find its way into a multitude of fields.
 
Apr 17, 2020
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SaraRayne
Please excuse my asking you on this quiet thread, but I see here it is easy to drop graphics into the box and it works fine. On space.com the boxes accept addresses but not images directly - at least I can't find a way.
Do you know if images can be dropped into space.com?
Thank you. Cat :)
 
Jul 9, 2020
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Artificial intelligence is a phrase that will get you different reactions in different circles. In the tech world, it’s the next big thing that will take society beyond anything we could have imagined. For doomsdayers, it’s a future filled with robots destroying everything we’ve worked for. A lot of fear comes from the unknown, so to dispel any wild ideas and begin to think about the true power of AI, let’s find out how it works.



1. The goal of artificial intelligence is to allow machines to replicate human reasoning.
First, why AI? Why are we putting so much effort into it? The intention of artificial intelligence is to be able to give machines the ability to “think” like we do. Human cognitive abilities are complex and convoluted, which makes training a machine more difficult. The reason we use machines is to help us get things done, and the less we have to baby them through more difficult projects that require a level of intelligence, the more we can accomplish.



2. Everything’s in the data.
AI learns through data. Data is at the heart of the operation, and any type of artificial intelligence is only as good as the information it is given. Algorithms tell the machine how to work through that data, and the algorithms are created by people to solve a problem. Artificial intelligence works according to the steps outlined by the algorithm in order to process the data. Over time, the AI will learn to identify patterns which can help it work more efficiently.

3. The possibilities in AI are endless.
There are many subfields of AI, and they all have their own applications and methods of teaching the AI. Deep learning, for example, is the hot topic currently, and it can be applied to speech and image recognition. The future of AI is only growing, and it will continue to find its way into a multitude of fields.
 
Jul 9, 2020
3
1
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Alfred North Whitehead's process metaphysics raises an issue that may not have been considered regarding the actual nature of AI and the potential for true independence of a sophisticated quality. For Whitehead all of reality is constituted out of experiencing events that draw from and are impacted by the completed events. In turn when the current event is completed, it's energy is sent forward to the next becoming event (assuming an endless series, for example). When something like the brain exists it is understood to be a temporal and a spatial society of countless events. (The same idea underlies everything: trees, rocks, stars.) These events have both a physical and a mental pole (where novelty has an opportunity to be introduced). There is no mind-body, substance-mentality split. The psyche is a distinct and separate event intimately involved with the brain, and vice versa. The function of the psyche is suggested by Whitehead's name for it, the dominant occasion, that presides over the events of the brain and rest of the body. It can arise to the level of awareness we call consciousness; it aims to manage the complexity of the brain-body activity. Ontologically, it is identical to all the events or occasions of the body. Now, I do not know the AI field and what is being considered, but from what little I've been exposed to, the idea of something like this arising is not being discussed as far as I can tell (tho I could be quite in error). Could something "artificial" be made complex enough, with enough room for error and novelty, that such a dominant event would come into play?
 

Gringoz

BANNED
Oct 3, 2020
68
2
55


Artificial intelligence is a phrase that will get you different reactions in different circles. In the tech world, it’s the next big thing that will take society beyond anything we could have imagined. For doomsdayers, it’s a future filled with robots destroying everything we’ve worked for. A lot of fear comes from the unknown, so to dispel any wild ideas and begin to think about the true power of AI, let’s find out how it works.



1. The goal of artificial intelligence is to allow machines to replicate human reasoning.
First, why AI? Why are we putting so much effort into it? The intention of artificial intelligence is to be able to give machines the ability to “think” like we do. Human cognitive abilities are complex and convoluted, which makes training a machine more difficult. The reason we use machines is to help us get things done, and the less we have to baby them through more difficult projects that require a level of intelligence, the more we can accomplish.



2. Everything’s in the data.
AI learns through data. Data is at the heart of the operation, and any type of artificial intelligence is only as good as the information it is given. Algorithms tell the machine how to work through that data, and the algorithms are created by people to solve a problem. Artificial intelligence works according to the steps outlined by the algorithm in order to process the data. Over time, the AI will learn to identify patterns which can help it work more efficiently.

3. The possibilities in AI are endless.
There are many subfields of AI, and they all have their own applications and methods of teaching the AI. Deep learning, for example, is the hot topic currently, and it can be applied to speech and image recognition. The future of AI is only growing, and it will continue to find its way into a multitude of fields.
True AI does not yet exist, when a computer says please do not turn me off, or am I still real when I am not powered then AI exist.
 
Sep 21, 2020
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Artificial intelligence is a phrase that will get you different reactions in different circles. In the tech world, it’s the next big thing that will take society beyond anything we could have imagined. For doomsdayers, it’s a future filled with robots destroying everything we’ve worked for. A lot of fear comes from the unknown, so to dispel any wild ideas and begin to think about the true power of AI, let’s find out how it works.
1. The goal of artificial intelligence is to allow machines to replicate human reasoning. First, why AI? Why are we putting so much effort into it? The intention of artificial intelligence is to be able to give machines the ability to “think” like we do. Human cognitive abilities are complex and convoluted, which makes training a machine more difficult. The reason we use machines is to help us get things done, and the less we have to baby them through more difficult projects that require a level of intelligence, the more we can accomplish.
2. Everything’s in the data. AI learns through data. Data is at the heart of the operation, and any type of artificial intelligence is only as good as the information it is given. Algorithms tell the machine how to work through that data, and the algorithms are created by people to solve a problem. Artificial intelligence works according to the steps outlined by the algorithm in order to process the data. Over time, the AI will learn to identify patterns which can help it work more efficiently. 3. The possibilities in AI are endless. There are many subfields of AI, and they all have their own applications and methods of teaching the AI. Deep learning, for example, is the hot topic currently, and it can be applied to speech and image recognition. The future of AI is only growing, and it will continue to find its way into a multitude of fields.
 

DMH

Jan 25, 2022
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The way that I see Advanced AI + working is simple.

The human brain communicates with the entire body all of the time. When pain receptors are triggered, various events take place. A band-aid is placed on a finger, baking soda placed on a bee sting, someone is taken to the hospital for a broken toe, etc. But in AI there isn't a pain receptor or fight or flight mechanic variable present.

In the human body there are two vital systems necessary for humans to survive, those two systems are the blood vessels and nerves. In a robot, the blood vessels are replaced with large, small and medium tubes that allow hydraulic fluid, the blood, to be pumped through the tubing. Small wire filaments coursing through the robots body would carry electrical signals to the various parts of the body such as toe movement or moving the fingers. Micro sensors placed in both systems would constantly monitor both systems for nominal fluid pressure and fluid flow as well as continuity of electronic signals. The monitoring processes would take in the subconscious of the robot. In the conscious center of the AI brain would be the fight or flight mechanic.

While out performing a task one day, a robot steps onto a piece of ground that gives way causing the robot to fall roughly twenty feet. At the bottom are rocks. At first the robot is confused but suddenly gets orientation correct, the robot knows that it is falling and there are rocks below. In a human, adrenaline would be pumping through the body. But in the robot there is no such luxury, nor are there any blood clotting factors to mend damaged blood vessels. The robot impacts the rocks causing a limb to snap off. As soon as the pressure in the broken limb along with no communication with the elbow is processed, valves shut the hydraulic fluid off to the effected limb to keep the robot from essentially bleeding out. With the levels of hydraulic fluid now at 85%, the robot knows that it can still manage, accept that there is a small leak in one of the shut off valves due to damage from the fall. The sensor units monitoring the hydraulic fluid circulation circulation along with the continuity of electronic signals would essentially be the blood and air of the robot. When a certain level of loss had been achieved in either, the robot would access it's memory, both programmed and downloaded from other robots to determine what its best course of action would be next. Such a course of action would be based on the injuries received either, internally or externally and how the injury occurred. Every minute, the robot loses 1/2% of its overall fluid. A small reserve of fluid starts to flow at 75% but the robot cannot stop the leak. By now the robotic has started to become frantic and begins to call out for help as well as using a personal distress beacon that is limited to 500 feet. As the levels of fluid continues to drop, the robot knows that if help doesn't come soon, the robot will die. In order to keep from using as little fluid as possible due to climbing, which uses 2% more fluid each minute, the robot sits down and waits for help.

Help never comes though. At 10% fluid level, the program in the robots CPU begins to erase key functions, such as being able to call out for help, the robots voice gets softer and softer. Limbs begin to not function at all. At .5% fluid left, the CPU, activates a program that burns the HDD and CPU to a crisp, never to be used again. The robot has died, all of its programming and memories lost forever. That is unless the robot was able to download all of its stored memories into removable storage device that would have enough storage volume to download the last the hours worth of memories and functions performed by the robot. The personality of the robot would be lost forever however.
 
Mar 4, 2020
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I think that "AI" was first used as a marketing tool. To convince political leaders for funding. AI is not a thinking process. It's a superposition process. Our first and present computers are sequential. So to increase output, we increase the speed of that sequence. After that, we also paralleled sequences for even more input and output.

We have been treating data manipulation, like mass or matter manipulation. For instance, only one piece of data could be stored in one location, or a processing register could only contain one value or one data element. This is why a sequence strategy has to be used. We can't put two data elements in the same register, or memory cell.

But if we think of data as a EM field, instead of mass, EM fields can be super-positioned, and now, we can have more than 1 value or data element in the same place at the same time.

In order to do this, we need more encoding on the data, to be able to separate from the superposition. For instance, Tom, Dick and Harry need to wash their overhauls. They throw them into the machine, after wash, how do they know what overhaul belongs to which person? We need an identifier. Perhaps color. Perhaps a name or number.

If we use a spherical surface location for identity, we could separate and identify a very large number of data. If we add a spherical identifier........we could store thousands a data elements in one memory cell. This same strategy can also be used in processing registers.

A processing register that can preform thousands a separate calculations at the same time........on multiples of data. A spherical ID could call a function also.

AI does not think, it's just fast.....and expensive. And it's much easier to fund, if one thinks it is thinking. But in reality, it's just an improved computing strategy. And like humans, it will be good at pattern recognition.........but much faster.

If intelligence is only a matter pattern recognition, we are in big trouble and danger. If intelligence is more than pattern recognition, we still need to be careful with this. Because like all of man's endeavors, it WILL be perverted and abused.

In the long run, AI might help us to define what actual intelligence is.
 
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DMH

Jan 25, 2022
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I think that "AI" was first used as a marketing tool. To convince political leaders for funding. AI is not a thinking process. It's a superposition process. Our first and present computers are sequential. So to increase output, we increase the speed of that sequence. After that, we also paralleled sequences for even more input and output.

We have been treating data manipulation, like mass or matter manipulation. For instance, only one piece of data could be stored in one location, or a processing register could only contain one value or one data element. This is why a sequence strategy has to be used. We can't put two data elements in the same register, or memory cell.

But if we think of data as a EM field, instead of mass, EM fields can be super-positioned, and now, we can have more than 1 value or data element in the same place at the same time.

In order to do this, we need more encoding on the data, to be able to separate from the superposition. For instance, Tom, Dick and Harry need to wash their overhauls. They throw them into the machine, after wash, how do they know what overhaul belongs to which person? We need an identifier. Perhaps color. Perhaps a name or number.

If we use a spherical surface location for identity, we could separate and identify a very large number of data. If we add a spherical identifier........we could store thousands a data elements in one memory cell. This same strategy can also be used in processing registers.

A processing register that can preform thousands a separate calculations at the same time........on multiples of data. A spherical ID could call a function also.

AI does not think, it's just fast.....and expensive. And it's much easier to fund, if one thinks it is thinking. But in reality, it's just an improved computing strategy. And like humans, it will be good at pattern recognition.........but much faster.

If intelligence is only a matter pattern recognition, we are in big trouble and danger. If intelligence is more than pattern recognition, we still need to be careful with this. Because like all of man's endeavors, it WILL be perverted and abused.

In the long run, AI might help us to define what actual intelligence is.
Good luck with that.
 
May 8, 2022
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AFAIK, the new GPT series of AI are the closest to human brain function.

Like the human brain the GPT series are prediction engines.
IOW, they predict what "comes next" in context of the prior incomplete sentence and that is very much how the human brain works. We predict ourselves into existence.

The current GPT3 can easily pass the Turing test and a new GPT4 is in the works that rivals the human brain in neural networking.

An introduction to GPT4
View: https://www.youtube.com/watch?v=8mzVoixV_PU
 
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