Questions tagged [theory]
Use for questions on AI theory and other theoretical subjects related to AI.
84
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Suitable kernels for Gaussian processes
Consider a stochastic process $\{X_t \colon t \in T\}$ indexed by a set $T$. We assume for simplicty that $T \in \mathbb{R}^n$. We assume that for any choice of indexes $t_1, \dots, t_n$, the random ...
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2answers
89 views
Understanding CNN in a few sentences
I don't know if this is the right place to ask this question. If it is not, please tell me and I remove it.
I've just started to learn CNN and I'm trying to understand what they do and how they do it....
4
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1answer
56 views
Is there a way to ensure that my model is able to recognize an unseen example?
My question is more theoretical than practical. Let's say that I am training my cat classifier with a dataset that I feel is pretty representative of cat images in general. But then a new breed of cat ...
4
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5answers
248 views
What event would confirm that we have reached AGI or a highly intelligent system?
I was listening to a podcast on the topic of AGI and a guest made an argument that if strong music generation were to happen, it would be a sign of true intelligence in machines because of how much ...
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0answers
17 views
Did people analyze dynamics of very simple LSTMs?
I wonder if researchers tried to understand how LSTMs work by analyzing dynamics of simple LSTM (e.g. with 2 units)? For example how hidden state evolves depending on the properties of weight matrices....
2
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1answer
53 views
What make a CNN suitable for image classification or for semantic segmentation?
I've just started with CNN and there is something that I haven't understood yet:
How do you "ask" a network: "classify me these images" or "do semantic segmentation"?
I think it must be something on ...
2
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0answers
38 views
What does “episodic training” mean?
I'm reading the book Hands-On Meta Learning with Python, and in Prototypical networks said:
So, we use episodic training—for each episode, we randomly sample a
few data points from each class in ...
1
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1answer
53 views
Why everyone is using CNN for image segmentation?
I'm newbie in artificial intelligence.
I have started to research about how to do image segmentation and all the papers that I have found are about CNN. Most of them use the same network, U-NET, but ...
2
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1answer
41 views
How many ways are there to perform image segmentation?
I'm new in Artificial Intelligence and I want to do image segmentation.
Searching I have found these ways
Digital image processing (I have read it in this book: Digital Image Processing, 4th edition)...
2
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0answers
70 views
Is this a problem well suited for machine learning?
The light-field of a certain scene is the set of all light rays that travel through the volume of that scene at a specific point of time. A light-field camera for example captures and stores a subset ...
4
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2answers
144 views
Are current AI models sufficient to achieve Artificial General Intelligence?
I read an interesting essay about how far we are from AGI. There were quite a few solid points that made me re-visit the foundation of AI today. A few interesting concepts arose:
imagine that you ...
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0answers
27 views
How would you differentiate between different on-policy reinforcement learning algorithms?
How would you differentiate between different on-policy reinforcement learning algorithms?
0
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1answer
68 views
When are compiled vs. interpreted languages more optimal in AI?
When are interpreted languages more optimal? When are compiled languages more optimal? What are the qualities and functions that render the so in relation to various AI methods?
2
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1answer
54 views
Is there anything theoretically revolutionary about Deep Neural Network?
In recent years we have seen quite a lot of impressive display of Deep Neural Network (DNN), as demonstrated most famously by AlphaGo and its cousin programs.
But if I understand correctly, deep ...
2
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1answer
139 views
What is convergence in machine learning?
I came across this answer on Quora, but it was pretty sparse. I'm looking for specific meanings in the context of machine learning, but also mathematical and economic notions of the term in general.
3
votes
1answer
680 views
What does 'democratizing AI' exactly mean?
In my AI literature research, I often notice authors use term 'democratizing AI', especially in the AutoML area. I think I have an idea of what this means, but I would like to ask you for some more ...
12
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3answers
146 views
Is there a way to understand neural networks without using the concept of brain?
Is there a way to understand, for instance, a multi-layered perceptron without hand-waving about them being similar to brains etc?
For example: it is obvious that what a perceptron does is ...
1
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1answer
36 views
Why is image classification tasks are dominated by minimizing cost function instead of maximizing ones?
I was watching a video of policy gradient by Andrej Karpathy at 10:00 there shows an equation for supervised learning for image classification.
$max\sum _{i}log \:p(y_i|x_i)$
I have worked with ...
5
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2answers
40 views
Is the gradient at a layer independent of the activations of the previous layers?
Is the gradient at a layer (of a feed-forward neural network) independent of the activations of the previous layers?
I read this in a paper titled Mean Field Residual Networks: On the Edge of Chaos (...
4
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0answers
42 views
Is it possible to control asymptotic behaviour of neural network models?
Is it possible to specify what the asymptotic behaviour of a Neural Networks (NN) model should be? I am thinking on NN which try to learn a mapping $\vec y=f(\vec x)$ with $\vec x$ a vector of ...
6
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9answers
708 views
Can Neural Networks self-optimize?
Suppose that you show a neural network its own code, and allow it to edit itself?
Can a neural network modify its own weights and architecture (the number of layers, the number of neurons per layer, ...
42
votes
4answers
10k views
Are neural networks prone to catastrophic forgetting?
Imagine you show a neural network a picture of a lion 100 times and label with "dangerous", so it learns that lions are dangerous.
Now imagine that previously you have shown it millions of images of ...
2
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0answers
41 views
Why do neural networks have bias units?
Why do neural networks have bias units? Why is it sometimes okay to opt them out?
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1answer
758 views
What is an agent in Artificial Intelligence?
While studying artificial intelligence, I have often encountered the term "agent" (often autonomous, intelligent). For instance, in fields such as Reinforcement Learning, Multi-Agent Systems, Game ...
2
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1answer
47 views
Is explainable AI more feasible through symbolic AI or soft computing?
Is explainable AI more feasible through symbolic AI or soft computing?
How much each paradigm, symbolic AI and soft computing (or hydrid approaches), adresses explanation and argumentation, where ...
2
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2answers
111 views
Would an artificial general intelligence have to be Turing complete?
Artificial general intelligence is the intelligence of a machine that could successfully perform any intellectual task that a human being can.
Would an artificial general intelligence have to be ...
2
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1answer
60 views
What are the known ways to test AI black boxes?
Is there any conmprehensive paper or site that describes an overview of the known black box testing techniques?
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0answers
16 views
Theoretical grounding for ease of training with a prior
If we have a neural network that learns the generative model for P(A, B, C)
And now, we want to learn the generative model for P(A, B, C, D)
Is there any theory that says learning P(A,B,C) and then ...
0
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0answers
22 views
Superhuman AI to disguise as human players
TL;DR below.
You entered a online mini video game.
It's a fast-paced hypercasual game. But it's a ranked one - top 10 get prizes. The leaderboard resets and prizes are handed out every couple of ...
2
votes
1answer
92 views
Neural nets need a short term memory of some sort
I notice with the recent revelation of severe limitations in some AI domains such as self driving cars that NNets behave with the same sort of errors as in simpler models. Ie: They may be ~100% ...
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1answer
34 views
Is Intelligence a naturally occurring function of Information Technology?
Here intelligence is defined as any analytic or decision making process, regardless of strength (utility), and, potentially, any process of computation that produces output, regardless of the medium.
...
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3answers
61 views
Are winning and imitating the primary indicators of intelligence?
Conjecture 1: The smartest chess playing system is the one that wins the tournament.
Conjecture 2: The computer system that imitates human dialog is as smart as the human whose dialog was imitated.
...
3
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1answer
80 views
How would a quantum computer potentially facilitate artificial consciousness, assuming it is possible?
How would a quantum computer potentially facilitate artificial consciousness, assuming it is possible?
3
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0answers
23 views
Batch PTA stopping condition
I am reviewing my Neural Network lectures and I have a doubt: My book's (Haykin) batch PTA describes a cost function which is defined over the set of the misclassified inputs.
I have always been ...
2
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0answers
69 views
An idea I had to create the first Humanoid using Deep Learning
I've come up with an idea on how we could use a combination of Deep Learning and body sensors to create a walking talking living humanoid. Here goes:
First, we will recruit 1 billion people and have ...
7
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2answers
110 views
What does learning mean?
Can someone explain what is the process of learning? What does it mean to learn something?
3
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0answers
190 views
Are human brain processes, like creativity, intuition or imagination, computable processes?
Are human brain processes, like intuition, creativity, imagination and the ability to create art, computable processes?
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1answer
78 views
How can I systematically learn about the theory of neural networks?
I have seen a few articles about neural nets. Mostly they went along these lines: we tried these architectures, these meta parameters, we trained it for $x$ hours on $y$ CPUs, and it gave us these ...
2
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1answer
112 views
Can NEAT produce neural networks where inputs are directly connected to outputs?
Can NEAT produce neural networks where inputs are directly (without intermediate hidden neurons) connected to outputs?
3
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2answers
89 views
Will a neural network always predict the correct label if it sees the exact same input during training and testing?
If I'm performing a text classification task using a model built in Keras, and for example, am attempting to predict the appropriate tag given a Stack Overflow question:
"how to subtract 1 from an ...
3
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3answers
293 views
If AI can perceive, can it be sentient? [duplicate]
I think that AI perceive the world. Can an AI be sentient?
0
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1answer
33 views
Is AI truly doing anything that we can consider ''intelligent'' outside of subjective perception of what we perceive to function?
Artificial intelligence seems like a modelling program for interfaces of possible processes forming into another possible or greater architectures of further or differing processes. In what capacity ...
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1answer
84 views
How important are notations for Artificial Intelligence?
According to WIkipedia, a notation is a semiotics term to describe artistic disciplines. Famous examples are: chess notation, Siteswap notation for juggling, Labanotation for dancing, basketball play ...
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1answer
105 views
Can I filter barking sounds on the television?
My dog goes bonkers every time the sound of a barking dog is heard on a television program. I never noticed this before but literally every movie or show with an outdoors setting eventually includes ...
4
votes
1answer
499 views
Why does the “reward to go” trick in policy gradient methods work?
In policy gradient method, there's a trick to reduce a variance of policy gradient. We use causality, and remove part of the sum over rewards so that only actions happened after the reward are taken ...
2
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1answer
52 views
How Dempster-Shafer theory work in AI?
How does Dempster-Shafer theory work in representing ignorance in AI field?
5
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2answers
124 views
Is an algorithm that is no longer actively learning an AI?
This question assumes a definition of AI based on machine learning, and was inspired by this fun Technology Review post:
SOURCE: Is this AI? We drew you a flowchart to work it out (Karen Hao, MIT ...
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2answers
178 views
How does Tara AI work?
Cisco and other companies are using Tara AI—a matching tool that connects IT projects with freelancers who have the exact skills required to complete them.
Looking for an explanation of how Tara AI ...
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1answer
62 views
Is the proposal that more power leads to more intelligence correct?
One of the somewhat subliminal and entirely unsubstantiated assumptions we hear is that more computing power will allow us to approximate human intelligence — that quantitative augmentation will ...
5
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6answers
2k views
What are the most instructive movies about artificial intelligence?
The field of AI has expanded profoundly in recent years, as has public awareness and interest. This includes the arts, where fiction about AI has been popular since at least Isaac Asimov. Films on ...
