Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Most Popular

more tags
1500 questions
8
votes
3 answers

How does backprop work through the random sampling layer in a variational autoencoder?

Implementations of variational autoencoders that I've looked at all include a sampling layer as the last layer of the encoder block. The encoder learns to generate a mean and standard deviation for each input, and samples from it to get the input's…
Luke Wolcott
  • 183
  • 4
8
votes
1 answer

Can AI stop attacks like WannaCry?

I have done some research regarding the application of machine learning to cyber-security. After these recent attacks (like WannaCry), I think that AI-based cyber defense can prevent them. I have also read about research regarding the same in MIT,…
kvk venugopal
  • 93
  • 5
8
votes
3 answers

How can I start learning mathematics for machine learning?

I am an Android programmer. Now, I would like to learn machine learning. I know it requires a mathematical background, like statistics, probability, calculus and linear algebra. However, I am a bit lost. Where should I start from? Can someone…
Anko6
  • 93
  • 5
8
votes
4 answers

Is language understanding possible without qualia?

I feel that many words if not all of them have a direct mapping to some kind of inner subjective experience, to a physical object, mental feeling, process or some other kind of abstract thing. Given that machines don't have qualia and no mapping of…
Vivek Krishna
  • 149
  • 2
8
votes
1 answer

What are some examples of intelligent agents for each intelligent agent class?

There are several classes of intelligent agents, such as: simple reflex agents model-based reflex agents goal-based agents utility-based agents learning agents Each of these agents behaves slightly different from the other agents. There are…
practronix512
  • 83
  • 1
  • 1
  • 6
8
votes
2 answers

Why is gradient descent used over the conjugate gradient method?

Based on some preliminary research, the conjugate gradient method is almost exactly the same as gradient descent, except the search direction must be orthogonal to the previous step. From what I've read, the idea tends to be that the conjugate…
Recessive
  • 1,396
  • 8
  • 21
8
votes
3 answers

What is meant by "known" in "A knowledge-base exhibits complete knowledge if and only if, for every $P$, $P$ or $\neg P$ is known"?

I have a question as to what it means for a knowledge-base to be consistent and complete. I've been looking into non-monotonic logic and different formalisms for it from the book "Knowledge Representation and Reasoning" by Hector Levesque and Ronald…
Parry
  • 181
  • 2
8
votes
4 answers

How can I predict the next number in a non-obvious sequence?

I've got an array of integers ranging from -3 to +3. Example: [1, 3, -2, 0, 0, 1] The array has no obvious pattern since it represents bipolar disorder mood swings. What is the most suitable approach to predict the next number in the series? The…
ZenBerry
  • 183
  • 1
  • 1
  • 4
8
votes
3 answers

Is it okay to use publicly available Instagram videos to train an AI?

Since I haven't found any good training data for my university project, I want to use pictures and videos from public Instagram profiles. Am I allowed to do that?
Bert Gayus
  • 605
  • 1
  • 4
  • 12
8
votes
2 answers

What are examples of techniques to prevent bias in artificial intelligence systems?

I recently read an article about how artificial intelligence replicates human stereotypes when applied to biased datasets. What are examples of techniques to prevent bias (and stereotypes) in artificial intelligence (in particular, machine learning)…
user6698
8
votes
2 answers

What is the name of a human-inspired machine learning approach?

I once came across a neural network being trained without back-propagation or genetic algorithms (or using any kind of data sets). It was based on how the human brain learns and adjusts its connections between neurons. What is the name of such a…
Philogy
  • 201
  • 1
  • 6
8
votes
3 answers

Can an AI learn to suffer?

I had first this question in mind "Can an AI suffer?". Suffering is important for human beings. Imagine that you are damaging your heel. Without pain, you will continue to harm it. Same for an AI. But then I told myself "Wait a second. It already…
bmwalide
  • 399
  • 2
  • 6
8
votes
1 answer

Zilberstein's "LP-dominate" pruning explained?

How does in the (famous Zilberstein) PR(uning) algorithm below the LP-dominate function get started: the first time it's called, D=∅ and the linear program deteriorates (i.e. no constraint equations)? procedure POINTWISE-DOMINATE(w, U) ... 3.…
stustd
  • 81
  • 1
8
votes
2 answers

Why class embedding token is added to the Visual Transformer?

In the famous work on the Visual Transformers, the image is split into patches of a certain size (say 16x16), and these patches are treated as tokens in the NLP tasks. In order to perform classification, a CLS token is added at the beginning of the…
spiridon_the_sun_rotator
  • 2,664
  • 10
  • 16
8
votes
1 answer

Deep Q-Learning "catastrophic drop" reasons?

I am implementing some "classical" papers in Model Free RL like DQN, Double DQN, and Double DQN with Prioritized Replay. Through the various models im running on CartPole-v1 using the same underlying NN, I am noticing all of the above 3 exhibit a…
Virus
  • 81
  • 1
  • 5
1 2 3
…
99 100