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Artificial Intelligence

1) Create a virus class: Corona and how it has affected your community 2) Create

1) Create a virus class: Corona and how it has affected your community
2) Create your Corona python virus and how it has affected many in your code.

Categories
Artificial Intelligence

Hello everyone, I need a research about NLP and its implementation. the resear

Hello everyone,
I need a research about NLP and its implementation.
the research contains three main topics:
– Introduction – Literature review – methodology or the topic application in the real-world – conclusion.
rules: -cited research must be before five years, so in 2019 and earlier – at least 10 APA style references for the research – absolutely no plagiarism accepted – research must contain sufficient information 15-20 pages is ideal.

Categories
Artificial Intelligence

How does reasoning work from an AI system’s perspective? Review the Podcast inst

How does reasoning work from an AI system’s perspective?
Review the Podcast instruction Guide in the General above to create your Podcast discussion or review these instructions using Audacity:
Audacity is a free, open-source, cross-platform software for recording and editing sounds. It is available for both Windows, Mac, GNU/Linux, and other operating systems.

Categories
Artificial Intelligence

“How is Alexa using artificial intelligence?” What is the history behind it and

“How is Alexa using artificial intelligence?” What is the history behind it and how can it benefit our society in the future? Provide examples and present your written findings. You must write a 3-page essay in APA format. You must include 3 scholarly reviewed references that are DIRECTLY related to the subject.

Categories
Artificial Intelligence

How does reasoning work from an AI system’s perspective? Review the Podcast inst

How does reasoning work from an AI system’s perspective?
Review the Podcast instruction Guide in the General above to create your Podcast discussion or review these instructions using Audacity:
Audacity is a free, open-source, cross-platform software for recording and editing sounds. It is available for both Windows, Mac, GNU/Linux, and other operating systems.

Categories
Artificial Intelligence

“How is Alexa using artificial intelligence?” What is the history behind it and

“How is Alexa using artificial intelligence?” What is the history behind it and how can it benefit our society in the future? Provide examples and present your written findings. You must write a 3-page essay in APA format. You must include 3 scholarly reviewed references that are DIRECTLY related to the subject.

Categories
Artificial Intelligence

Project 1 Assignment This assignment involves using backpropagation (BP) learnin

Project 1 Assignment This assignment involves using
backpropagation (BP) learning procedure to train a multi-layer feedforward
network to compute the 4-bit parity function. The bipolar representation is
recommended. There are total of sixteen training samples (x:class(x)) where
vector x is a unique 4-bit input pattern
and class(x) is its corresponding target function
value. It is well known that class(x)=1 if x contains
odd number of 1 ‘s, and class(x)=−1, otherwise. You are
asked to implement two versions of BP learning, one using the standard BP
procedure and the other with a momentum term, and compare their respective
learning performance. Besides the source code of your program, you should
submit a written report of the following: 1. The architecture of your network
(number of hidden layers and their sizes, the sigmoid function you choose,
etc.) 2. The parameters you selected for the network, such as the learning
rate, the initial weight matrix. 3. Criteria used for termination (e.g.,
acceptable error). 4. Whether learning is conducted in sequential or batch
mode. 5. For each of the two versions, report 1) The number of iterations (or
the number of epochs if you choose batch mode) the learning takes to its
termination. 2) The learned weights (including weights for the dummy/bias
nodes). 3) The output value of the output node when each of the sixteen input
patterns is applied to the learned network. 6. Any other issues you wish to
report and discuss. To highlight the linear inseparability nature of this
problem, you are also asked to apply Adaline learning procedure to the same
parity function. After the training is terminated, report the decision boundary
(i.e., the linear function) found by the learning process, and which of the
sixteen inputs are correctly classified and which are not.

Categories
Artificial Intelligence

Project 1 Assignment This assignment involves using backpropagation (BP) learnin

Project 1 Assignment This assignment involves using
backpropagation (BP) learning procedure to train a multi-layer feedforward
network to compute the 4-bit parity function. The bipolar representation is
recommended. There are total of sixteen training samples (x:class(x)) where
vector x is a unique 4-bit input pattern
and class(x) is its corresponding target function
value. It is well known that class(x)=1 if x contains
odd number of 1 ‘s, and class(x)=−1, otherwise. You are
asked to implement two versions of BP learning, one using the standard BP
procedure and the other with a momentum term, and compare their respective
learning performance. Besides the source code of your program, you should
submit a written report of the following: 1. The architecture of your network
(number of hidden layers and their sizes, the sigmoid function you choose,
etc.) 2. The parameters you selected for the network, such as the learning
rate, the initial weight matrix. 3. Criteria used for termination (e.g.,
acceptable error). 4. Whether learning is conducted in sequential or batch
mode. 5. For each of the two versions, report 1) The number of iterations (or
the number of epochs if you choose batch mode) the learning takes to its
termination. 2) The learned weights (including weights for the dummy/bias
nodes). 3) The output value of the output node when each of the sixteen input
patterns is applied to the learned network. 6. Any other issues you wish to
report and discuss. To highlight the linear inseparability nature of this
problem, you are also asked to apply Adaline learning procedure to the same
parity function. After the training is terminated, report the decision boundary
(i.e., the linear function) found by the learning process, and which of the
sixteen inputs are correctly classified and which are not.

Categories
Artificial Intelligence

AI Overview and Applications Artificial intelligence (AI) is a field of computer

AI Overview and Applications
Artificial intelligence (AI) is a field of computer science and engineering focused on the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. The development of AI involves creating systems that can perform tasks that typically require human-like intelligence, such as recognizing patterns, learning from experience, making decisions, and solving problems.
AI has many potential applications, including improving healthcare, transportation, education, and manufacturing. It can also be used to assist with scientific research, financial analysis, and language translation. Some specific examples of AI applications include:
Natural language processing: AI systems that can understand and generate human-like language can be used to build chatbots and virtual assistants, and to improve machine translation.
Computer vision: AI systems that can analyze and understand images and videos can be used in a variety of applications, such as object and facial recognition, video surveillance, and autonomous vehicles.
Predictive analytics: AI systems that can analyze data and make predictions about future events can be used in a variety of applications, such as financial forecasting, customer behavior analysis, and fraud detection.
Robotics: AI can be used to control and program robots to perform tasks in a variety of settings, including manufacturing, healthcare, and space exploration.
Healthcare: AI can be used to analyze medical data, such as patient records and imaging scans, to improve diagnosis and treatment recommendations. It can also be used to monitor patients remotely and detect potential health issues early.
AI is an interdisciplinary field, with contributions from fields such as computer science, psychology, linguistics, and neuroscience. It is constantly evolving, with new developments and advances being made all the time.

Categories
Artificial Intelligence

AI Overview and Applications Artificial intelligence (AI) is a field of computer

AI Overview and Applications
Artificial intelligence (AI) is a field of computer science and engineering focused on the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. The development of AI involves creating systems that can perform tasks that typically require human-like intelligence, such as recognizing patterns, learning from experience, making decisions, and solving problems.
AI has many potential applications, including improving healthcare, transportation, education, and manufacturing. It can also be used to assist with scientific research, financial analysis, and language translation. Some specific examples of AI applications include:
Natural language processing: AI systems that can understand and generate human-like language can be used to build chatbots and virtual assistants, and to improve machine translation.
Computer vision: AI systems that can analyze and understand images and videos can be used in a variety of applications, such as object and facial recognition, video surveillance, and autonomous vehicles.
Predictive analytics: AI systems that can analyze data and make predictions about future events can be used in a variety of applications, such as financial forecasting, customer behavior analysis, and fraud detection.
Robotics: AI can be used to control and program robots to perform tasks in a variety of settings, including manufacturing, healthcare, and space exploration.
Healthcare: AI can be used to analyze medical data, such as patient records and imaging scans, to improve diagnosis and treatment recommendations. It can also be used to monitor patients remotely and detect potential health issues early.
AI is an interdisciplinary field, with contributions from fields such as computer science, psychology, linguistics, and neuroscience. It is constantly evolving, with new developments and advances being made all the time.