Artificial Intelligence Stack Exchange
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Do I need classification or regression to predict the availability of a user given some features?

While studying data mining methods I have come to understand that there are two main categories: Predictive methods: Classification Regression Descriptive methods: Clustering Association rules Since I want to predict the user availability…
Guest2000
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What is the difference between memetic algorithms and genetic algorithms?

What is the difference between memetic algorithms and genetic algorithms? Is an individual's lifetime a learning part of memetic algorithms?
Nasser
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When the AI singularity takes over, what will there be left for us to do?

Since the first Industrial revolution machines have been taking the jobs of people and automation has been a part of human social evolution for the past 3 centuries, but all in all these machines have been replacing mechanical, high-risk and…
Nathan Danzmann
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What's the term for death by dissolving in AI?

What's the term (if such exists) for merging with AI (e.g. via neural lace) and becoming so diluted (e.g. 1:10000) that it effectively results in a death of the original self? It's not quite "digital ascension", because that way it would still be…
ikaruss
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Which machine learning algorithm can be used to identify patterns in a dataset of the cache performance of a CPU?

I need a machine learning algorithm to identify patterns in a dataset (saved in a CSV file) that contains details of the cache performance of a CPU. More specifically, the dataset contains columns like Readhits, Readmiss or Writehits. The patterns…
aAAAAAAa
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Can a technological singularity only occur with superintelligence?

In Chapter 26 of the book Artificial Intelligence: A Modern Approach (3rd edition), the textbook discusses "technological singularity". It quotes I.J. Good, who wrote in 1965: Let an ultra-intelligent machine be defined as a machine that can far…
Left SE On 10_6_19
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How to transform inputs and extract useful outputs in a Neural Network?

So I've been trying to understand neural networks ever since I came across Adam Geitgey's blog on machine learning. I've read as much as I can on the subject (that I can grasp) and believe I understand all the broad concepts and some of the workings…
David
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Is there an AI model for generating sarcastic sentences?

I am currently working on an Android AI app. I am aware of AI models to generate random sentences. However, is there an AI model for generating sarcastic sentences?
Praharsh Bhatt
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What are the differences between an agent and a model?

In the context of Artificial Intelligence, sometimes people use the word "agent" and sometimes use the word "model" to refer to the output of the whole "AI-process". For examples: "RL agents" and "deep learning models". Are the two words…
malioboro
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Can Bayesian inference be combined with knowledge-based systems?

I've been struggling with the connection between knowledge-based AI systems and Bayesian inference for a while now. While I continue to sweep through the literature, I would be happy if someone can answer these more specific questions directly Are…
PintoUbuntu
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Why is my GAN more unstable with bigger networks?

I am working with generative adversarial networks (GANs) and one of my aims at the moment is to reproduce samples in two dimensions that are distributed according to a circle (see animation). When using a GAN with small networks (3 layers with 50…
Mafu
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What is different in each head of a multi-head attention mechanism?

I have a difficult time understanding the "multi-head" notion in the original transformer paper. What makes the learning in each head unique? Why doesn't the neural network learn the same set of parameters for each attention head? Is it because we…
mhsnk
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What are the learning limitations of neural networks trained with backpropagation?

In 1969, Seymour Papert and Marvin Minsky showed that Perceptrons could not learn the XOR function. This was solved by the backpropagation network with at least one hidden layer. This type of network can learn the XOR function. I believe I was once…
S.L. Barth is on codidact.com
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What do the different actions of the OpenAI gym's environment of 'Pong-v0' represent?

Printing action_space for Pong-v0 gives Discrete(6) as output, i.e. $0, 1, 2, 3, 4, 5$ are actions defined in the environment as per the documentation. However, the game needs only 2 controls. Why do we have this discrepancy? Further, is that…
cur10us
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How do I handle negative rewards in policy gradients with the cross-entropy loss function?

I am using policy gradients in my reinforcement learning algorithm, and occasionally my environment provides a severe penalty (i.e. negative reward) when a wrong move is made. I'm using a neural network with stochastic gradient descent to learn the…
jstaker7
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