Hottest Questions This Month

27

votes

7

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7k

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Computationally expensive AI techniques (that are promising)

machine-learning algorithm

modified Oct 22 at 14:49 nickw 107

6

votes

5

answers

6k

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What does AI software look like, and how is it different from other software?

comparison implementation

answered Nov 14 at 21:16 Nazeeb Karim Verdeprado 19

9

votes

6

answers

2k

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Is there a reliable website about artificial intelligence that is frequently updated? [closed]

resource-request journalism

modified Nov 6 at 10:04 jmmcd 139

11

votes

1

answer

5k

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Are humans superior to machines in chess?

comparison chess

modified Nov 12 at 9:05 serali 478

12

votes

3

answers

129

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Is there a way to understand neural networks without using the concept of brain?

neural-networks theory history

answered Oct 29 at 6:19 ashenoy 825

7

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2

answers

576

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Why use a recurrent neural network over a feedforward neural network for sequence prediction?

deep-learning recurrent-neural-networks feedforward-neural-network multilayer-perceptron long-short-term-memory

modified Nov 3 at 21:36 nbro 9,160

5

votes

2

answers

492

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How does text classification reduce manpower costs?

classification utility

modified Oct 24 at 0:47 DukeZhou♦ 5,349

4

votes

1

answer

741

views

Maximum nodes in hidden layer

neural-networks hidden-layers

answered Oct 27 at 20:56 Neil Slater 9,401

2

votes

3

answers

201

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What is the name of an AI whose primary goal is to create a better AI?

terminology evolutionary-algorithms agi

modified Nov 5 at 6:36 Tautological Revelations 262

3

votes

1

answer

662

views

What does 'democratizing AI' exactly mean?

philosophy terminology theory

answered Oct 30 at 9:59 Louis Lac 258

5

votes

1

answer

190

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What is “conditioning” on a feature?

terminology math feature data-preprocessing conditional-probability

modified Nov 14 at 13:33 nbro 9,160

2

votes

4

answers

105

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What are the societal risks associated with AI?

modified Oct 26 at 20:40 DukeZhou♦ 5,349

5

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2

answers

100

views

What are methods human actors use to imitate robots?

modified Nov 9 at 0:28 DukeZhou♦ 5,349

3

votes

2

answers

95

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What is a “surrogate model”?

terminology definitions hyperparameter-optimization bayesian-optimization

modified 5 hours ago nbro 9,160

2

votes

2

answers

94

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Why is there a sigmoid function in the hidden layer of a neural network? [duplicate]

neural-networks activation-function hidden-layers function-approximation

modified Oct 31 at 20:05 nbro 9,160

4

votes

1

answer

226

views

How to create an AI to solve a word search?

deep-learning search architecture reasoning

answered Nov 11 at 1:15 John Doucette 6,788

3

votes

3

answers

96

views

How to calculate the optimal placements for settlements in Catan without an ML algorithm?

ai-design game-ai game-theory combinatorial-games symbolic-ai

modified Oct 26 at 19:49 DukeZhou♦ 5,349

5

votes

1

answer

75

views

What is the formula used to calculate the loss in the FaceNet model?

neural-networks loss-functions facial-recognition

modified Nov 11 at 14:48 nbro 9,160

3

votes

2

answers

68

views

What is the difference between reinforcement learning and AutoML?

reinforcement-learning comparison supervised-learning automated-machine-learning

modified Nov 11 at 15:51 Mathieu Bouville 251

3

votes

2

answers

87

views

How can I measure an object using Computer Vision and neural network techniques?

neural-networks computer-vision image-processing intelligence artificial

modified Nov 6 at 3:11 MoltenMuffins 121

4

votes

1

answer

138

views

What is the reason AMD Radeon is not widely used for machine learning and deep learning?

hardware-evaluation

answered 2 days ago Clement Hui 976

3

votes

1

answer

134

views

What's the difference between RMSE and Euclidean distance, and when to use a custom loss?

neural-networks deep-learning comparison optimization loss-functions

modified 2 days ago nbro 9,160

3

votes

2

answers

53

views

What's going on in the equation of the variational lower bound?

statistical-ai latent-variable variational-autoencoder

modified Nov 3 at 14:50 c.uent 21

3

votes

1

answer

86

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Which books or papers clearly explain the relation between Ising models and deep neural networks?

neural-networks comparison reference-request

modified Nov 13 at 17:52 Michael Hearn 463

3

votes

2

answers

84

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How do I predict the occurrence of rare events?

machine-learning ai-design applications prediction

answered Oct 30 at 4:21 S. McGrew 288

3

votes

2

answers

65

views

Wouldn't convolutional neural network models work better without flattening the input in any stages?

neural-networks convolutional-neural-networks training convolution

answered Nov 12 at 6:27 mirror2image 477

4

votes

2

answers

106

views

What is the feminist perspective on artificial intelligence?

answered Nov 6 at 11:12 Roksana Krysht 16

4

votes

2

answers

56

views

What are the best algorithms for image segmentation tasks?

machine-learning convolutional-neural-networks applications image-segmentation

answered Oct 30 at 10:12 Louis Lac 258

4

votes

2

answers

101

views

If an heuristic is not admissible, can it be consistent?

search proofs heuristics admissible-heuristic consistent-heuristic

modified Nov 10 at 16:53 nbro 9,160

4

votes

1

answer

55

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What do the subscripts mean in $N_{t,n,\sigma,L}$?

neural-networks math definitions notation

modified Nov 13 at 12:36 nbro 9,160

1

vote

2

answers

70

views

Which AI Technique best suited to discovering non-linear relationships in data?

neural-networks machine-learning ai-design ai-basics problem-solving

modified Nov 5 at 9:24 naive 532

2

votes

2

answers

54

views

AI with conflicting objectives?

machine-learning reference-request game-theory goal-based affective-computing

modified Nov 10 at 1:45 nbro 9,160

3

votes

1

answer

67

views

Are deep learning models more prone to overfitting than machine learning ones?

machine-learning deep-learning comparison overfitting

modified Nov 11 at 1:10 nbro 9,160

2

votes

1

answer

84

views

Update in REINFORCE algorithm - step-wise or episode-wise?

reinforcement-learning reinforce

answered Oct 29 at 11:01 Dimitris Monroe 125

6

votes

1

answer

38

views

Are there well-established ways of mixing different inputs (e.g. image and numbers)?

convolutional-neural-networks architecture

modified Nov 3 at 13:05 nbro 9,160

5

votes

1

answer

55

views

What is the double sample problem in reinforcement learning?

reinforcement-learning

answered Oct 28 at 9:25 Neil Slater 9,401

4

votes

1

answer

52

views

What is the meaning of the square brackets in ant colony optimization?

papers swarm-intelligence notation ant-colony

modified Nov 2 at 14:21 nbro 9,160

5

votes

1

answer

52

views

How do I combine models trained on different data to increase classification accuracy?

neural-networks python image-recognition keras svm

modified Nov 14 at 6:29 serali 478

2

votes

1

answer

66

views

Solving a Multi-Armed, “Multi-Bandit” Problem

reinforcement-learning policy-gradients markov-decision-process

modified Oct 30 at 9:13 Neil Slater 9,401

2

votes

1

answer

66

views

What technology do people use to create bots for games like LOL or Runescape?

computer-vision game-ai chat-bots

modified Nov 12 at 0:01 nbro 9,160

2

votes

1

answer

51

views

What are causative and exploratory attacks in Adversarial Machine Learning?

neural-networks machine-learning deep-learning classification adversarial-ml

modified Nov 14 at 14:15 nbro 9,160

1

vote

2

answers

64

views

Necessity of GPUs and hardware minimum specs for Deep Learning?

neural-networks recurrent-neural-networks hardware image-processing hardware-evaluation

modified Oct 25 at 13:35 Clement Hui 976

3

votes

2

answers

49

views

Why they use KL divergence in Natural gradient?

machine-learning deep-learning

answered Oct 30 at 19:43 Srivatsan Ramesh 11

3

votes

2

answers

47

views

Which linear algebra book should I read to understand vectorized operations?

neural-networks backpropagation math

modified Oct 29 at 0:55 nbro 9,160

2

votes

1

answer

46

views

Why “Exploratory moves do not result in any learning”?

machine-learning reinforcement-learning

modified Oct 25 at 11:46 John Doucette 6,788

1

vote

1

answer

46

views

What is the relationship between fuzzy logic and objective bayesian probability?

fuzzy-logic bayesian-probability

answered Oct 26 at 13:29 John Doucette 6,788

3

votes

1

answer

59

views

What needs to be done to make a fair algorithm?

modified Nov 14 at 23:28 nbro 9,160

5

votes

1

answer

58

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Why do small datasets require more samples, while big datasets require fewer samples in negative sampling?

recurrent-neural-networks sequence-modelling

answered Oct 30 at 18:55 nickw 107

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