Building explainability into the components of machine-learning ...
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Generated: 7/25/2022
Building explainability into the components of machine-learning ...
Machine learning
Machine Learning in AI is the set of research areas that deals with...
The best books on AI
The books on Artificial Intelligence by Richard Hamming is a must read for AI....
Machine Learning in Practice: With Examples in R & Python, Second Edition
Machine Learning in Practice: With Examples in R & Python, Second Edition is a textbook for the "how to"...
Book: AI: A Modern Approach, Second Edition
This textbook is about "AI" from a computer science perspective. The course covers...
Machine learning (ML) is the science of "learning" algorithms. These algorithms build a model out of "data" like...
How to Build an Artificial Intelligence: A Beginner's Guide to the AI Revolution (Guidebook)
How to Build an Artificial Intelligence: A Beginner's Guide to the AI Revolution (Guidebook) by David A. Velleman: An...
How to Build a Neural Network
An R tutorial on how to use an ML library. Learn about some of the key components and see...
Artificial intelligence - Wikipedia
Artificial intelligence is the branch of computer science, engineering, or mathematics that focuses on designing computers that have human-like abilities, including the ability to learn and adapt. Artificial...
The Complete Book of Artificial Intelligence Algorithms
The Complete Book of Artificial Intelligence Algorithms is the first book to cover all known algorithms in artificial intelligence. Written by...
Artificial Intelligence
Artificial Intelligence (AI) is intelligence or the ability of a machine to act like an individual of its species. An artificial intelligent system, sometimes referred to as AI...
Artificial intelligence. A very brief introduction
Most people know what AI is now, and probably have a mental image they associate with the term.
I like to describe the field of AI as consisting of a group of people, each striving to understand another group of people, trying to figure out what kind of thing, if any, can be "learned." The first steps toward that knowledge involve learning the laws governing which data can be considered to be "knowledge" and which are not; from that, the fields of knowledge representation and search, and finally, machine learning, can be derived.
There are many sub-fields within the broad area of AI: computational linguistics, computer vision, expert systems, autonomous agents, expert systems, pattern recognition, intelligent tutors, expert systems, machine learning, and so on. They form a sort of tree, with each "trunk" at a "higher" level of complexity, but all branches at the same depth.tics, computer vision, expert systems, autonomous agents, expert systems, pattern recognition, intelligent tutors, expert systems, machine learning, and so on. They form a sort of tree, with each "trunk" at a "higher" level of complexity, but all branches at the same depth. All the "branches" start at about the same level as the "trunk". In other words, each branch of AI is usually regarded as the "higher level" of a "trunk" of AI that is itself a component of "lower level" AI.
Most of the branches can be thought of as sub-branches of AI in so far as they involve machines that work at, or operate at the same level as, human beings. Of course, a person does not possess their own neural net and "learns" to think like a computer, but most of us have certain skills that can be learned.
Some of the other branches of AI involve machines that work at or operate at a level lower than that of human beings. For instance, some computers can play sophisticated video games, some can talk, see, or navigate, and some can even read and write, in spite of the fact that computers do not have the capacity to make direct comparisons to determine if one sentence makes sense or not. The ability to learn might be the only distinction between artificial intelligence and mere "experience".
The tree of AI is far away from its completion, and it is quite possible that we will make it to its root someday. This is why many AI experts and researchers are interested in the idea of "strong AI" and others want to create a "strong AI." Others have even suggested that we have achieved such a thing in the form of computers who themselves write AI. There may never be a day when they are not talking this "language," and it is quite likely that we will never "know" or "understand" this language. However, there are still a lot of branches and a lot of learning left to learn, so far.
A.I. is at its infancy, and there are no signs of slowing down anytime soon. A human infant is more intelligent than many of the first generation A.I. programs we have.vel of complexity, but all branches at the same depth. All the "branches" start at about the same level as the "trunk". In other words, each branch of AI is usually regarded as the "higher level" of a "trunk" of AI that is itself a component of "lower level" AI.
Most of the branches can be thought of as sub-branches of AI in so far as they involve machines that work at, or operate at the same level as, human beings. Of course, a person does not possess their own neural net and "learns" to think like a computer, but most of us have certain skills that can be learned.
Some of the other branches of AI involve machines that work at or operate at a level lower than that of human beings. For instance, some computers can play sophisticated video games, some can talk, see, or navigate, and some can even read and write, in spite of the fact that computers do not have the capacity to make direct comparisons to determine if one sentence makes sense or not. The ability to learn might be the only distinction between artificial intelligence and mere "experience".
The tree of AI is far away from its completion, and it is quite possible that we will make it to its root someday. This is why many AI experts and researchers are interested in the idea of "strong AI" and others want to create a "strong AI." Others have even suggested that we have achieved such a thing in the form of computers who themselves write AI. There may never be a day when they are not talking this "language," and it is quite likely that we will never "know" or "understand" this language. However, there are still a lot of branches and a lot of learning left to learn, so far.
A.I. is at its infancy, and there are no signs of slowing down anytime soon. A human infant is more intelligent than many of the first generation A.I. programs we have. AI is at the very beginning. It has yet to reach any sort of maturity. There isn't much sense talking about "expert" systems that "master" chess. There is nothing to "master," and everything is just a game to be played.evel lower than that of human beings. For instance, some computers can play sophisticated video games, some can talk, see, or navigate, and some can even read and write, in spite of the fact that computers do not have the capacity to make direct comparisons to determine if one sentence makes sense or not. The ability to learn might be the only distinction between artificial intelligence and mere "experience".
The tree of AI is far away from its completion, and it is quite possible that we will make it to its root someday. This is why many AI experts and researchers are interested in the idea of "strong AI" and others want to create a "strong AI." Others have even suggested that we have achieved such a thing in the form of computers who themselves write AI. There may never be a day when they are not talking this "language," and it is quite likely that we will never "know" or "understand" this language. However, there are still a lot of branches and a lot of learning left to learn, so far.
A.I. is at its infancy, and there are no signs of slowing down anytime soon. A human infant is more intelligent than many of the first generation A.I. programs we have. AI is at the very beginning. It has yet to reach any sort of maturity. There isn't much sense talking about "expert" systems that "master" chess. There is nothing to "master," and everything is just a game to be played. It would come as no surprise to see an AI computer who just outsmarted itself and got its own brainwashed. It is not going to surprise me.
A.I. will get to a new stage as soon as we have finished this. It just happens to be that the way it gets there is not very predictable now, and that isn't stopping any artificial scientist.
No doubt you are aware of the recent AI experiments where people are able to 'talk' to these programs in language that they have been told to 'learn' in. As this progresses we are seeing a clear shift of the balance of power on the planet towards machines which may well come to exceed our capacity for rational judgement.
Machine learning
Machine Learning in AI is the set of research areas that deals with...
The best books on AI
The books on Artificial Intelligence by Richard Hamming is a must read for AI....
Machine Learning in Practice: With Examples in R & Python, Second Edition
Machine Learning in Practice: With Examples in R & Python, Second Edition is a textbook for the "how to"...
Book: AI: A Modern Approach, Second Edition
This textbook is about "AI" from a computer science perspective. The course covers...
Machine learning (ML) is the science of "learning" algorithms. These algorithms build a model out of "data" like...
How to Build an Artificial Intelligence: A Beginner's Guide to the AI Revolution (Guidebook)
How to Build an Artificial Intelligence: A Beginner's Guide to the AI Revolution (Guidebook) by David A. Velleman: An...
How to Build a Neural Network
An R tutorial on how to use an ML library. Learn about some of the key components and see...
Artificial intelligence - Wikipedia
Artificial intelligence is the branch of computer science, engineering, or mathematics that focuses on designing computers that have human-like abilities, including the ability to learn and adapt. Artificial...
The Complete Book of Artificial Intelligence Algorithms
The Complete Book of Artificial Intelligence Algorithms is the first book to cover all known algorithms in artificial intelligence. Written by...
Artificial Intelligence
Artificial Intelligence (AI) is intelligence or the ability of a machine to act like an individual of its species. An artificial intelligent system, sometimes referred to as AI...
Artificial intelligence. A very brief introduction
Most people know what AI is now, and probably have a mental image they associate with the term.
I like to describe the field of AI as consisting of a group of people, each striving to understand another group of people, trying to figure out what kind of thing, if any, can be "learned." The first steps toward that knowledge involve learning the laws governing which data can be considered to be "knowledge" and which are not; from that, the fields of knowledge representation and search, and finally, machine learning, can be derived.
There are many sub-fields within the broad area of AI: computational linguistics, computer vision, expert systems, autonomous agents, expert systems, pattern recognition, intelligent tutors, expert systems, machine learning, and so on. They form a sort of tree, with each "trunk" at a "higher" level of complexity, but all branches at the same depth.tics, computer vision, expert systems, autonomous agents, expert systems, pattern recognition, intelligent tutors, expert systems, machine learning, and so on. They form a sort of tree, with each "trunk" at a "higher" level of complexity, but all branches at the same depth. All the "branches" start at about the same level as the "trunk". In other words, each branch of AI is usually regarded as the "higher level" of a "trunk" of AI that is itself a component of "lower level" AI.
Most of the branches can be thought of as sub-branches of AI in so far as they involve machines that work at, or operate at the same level as, human beings. Of course, a person does not possess their own neural net and "learns" to think like a computer, but most of us have certain skills that can be learned.
Some of the other branches of AI involve machines that work at or operate at a level lower than that of human beings. For instance, some computers can play sophisticated video games, some can talk, see, or navigate, and some can even read and write, in spite of the fact that computers do not have the capacity to make direct comparisons to determine if one sentence makes sense or not. The ability to learn might be the only distinction between artificial intelligence and mere "experience".
The tree of AI is far away from its completion, and it is quite possible that we will make it to its root someday. This is why many AI experts and researchers are interested in the idea of "strong AI" and others want to create a "strong AI." Others have even suggested that we have achieved such a thing in the form of computers who themselves write AI. There may never be a day when they are not talking this "language," and it is quite likely that we will never "know" or "understand" this language. However, there are still a lot of branches and a lot of learning left to learn, so far.
A.I. is at its infancy, and there are no signs of slowing down anytime soon. A human infant is more intelligent than many of the first generation A.I. programs we have.vel of complexity, but all branches at the same depth. All the "branches" start at about the same level as the "trunk". In other words, each branch of AI is usually regarded as the "higher level" of a "trunk" of AI that is itself a component of "lower level" AI.
Most of the branches can be thought of as sub-branches of AI in so far as they involve machines that work at, or operate at the same level as, human beings. Of course, a person does not possess their own neural net and "learns" to think like a computer, but most of us have certain skills that can be learned.
Some of the other branches of AI involve machines that work at or operate at a level lower than that of human beings. For instance, some computers can play sophisticated video games, some can talk, see, or navigate, and some can even read and write, in spite of the fact that computers do not have the capacity to make direct comparisons to determine if one sentence makes sense or not. The ability to learn might be the only distinction between artificial intelligence and mere "experience".
The tree of AI is far away from its completion, and it is quite possible that we will make it to its root someday. This is why many AI experts and researchers are interested in the idea of "strong AI" and others want to create a "strong AI." Others have even suggested that we have achieved such a thing in the form of computers who themselves write AI. There may never be a day when they are not talking this "language," and it is quite likely that we will never "know" or "understand" this language. However, there are still a lot of branches and a lot of learning left to learn, so far.
A.I. is at its infancy, and there are no signs of slowing down anytime soon. A human infant is more intelligent than many of the first generation A.I. programs we have. AI is at the very beginning. It has yet to reach any sort of maturity. There isn't much sense talking about "expert" systems that "master" chess. There is nothing to "master," and everything is just a game to be played.evel lower than that of human beings. For instance, some computers can play sophisticated video games, some can talk, see, or navigate, and some can even read and write, in spite of the fact that computers do not have the capacity to make direct comparisons to determine if one sentence makes sense or not. The ability to learn might be the only distinction between artificial intelligence and mere "experience".
The tree of AI is far away from its completion, and it is quite possible that we will make it to its root someday. This is why many AI experts and researchers are interested in the idea of "strong AI" and others want to create a "strong AI." Others have even suggested that we have achieved such a thing in the form of computers who themselves write AI. There may never be a day when they are not talking this "language," and it is quite likely that we will never "know" or "understand" this language. However, there are still a lot of branches and a lot of learning left to learn, so far.
A.I. is at its infancy, and there are no signs of slowing down anytime soon. A human infant is more intelligent than many of the first generation A.I. programs we have. AI is at the very beginning. It has yet to reach any sort of maturity. There isn't much sense talking about "expert" systems that "master" chess. There is nothing to "master," and everything is just a game to be played. It would come as no surprise to see an AI computer who just outsmarted itself and got its own brainwashed. It is not going to surprise me.
A.I. will get to a new stage as soon as we have finished this. It just happens to be that the way it gets there is not very predictable now, and that isn't stopping any artificial scientist.
No doubt you are aware of the recent AI experiments where people are able to 'talk' to these programs in language that they have been told to 'learn' in. As this progresses we are seeing a clear shift of the balance of power on the planet towards machines which may well come to exceed our capacity for rational judgement.