Questions tagged [theory]

Use for questions on AI theory and other theoretical subjects related to AI.

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65 views

What are the known ways to test AI black boxes? [closed]

Is there any conmprehensive paper or site that describes an overview of the known black box testing techniques?
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2answers
216 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
80 views

How Dempster-Shafer theory work in AI?

How does Dempster-Shafer theory work in representing ignorance in AI field?
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1answer
144 views

Google's Principles of Artificial Intelligence

Earlier this month, Google released a set of principles governing their AI development initiatives. The stated principles are: Objectives for AI Applications: Be socially beneficial. ...
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57 views

Is there any application of topology to deep learning?

Is there any application of topology (as in math discipline) to deep learning? If so, what are some examples?
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0answers
35 views

Is there a theory that captures the following ideas?

A big class of problems that are relevant in today's society are full of uncertainty and are also sometimes computationally intractable. Along our lives we come to realize that we are solving the same ...
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0answers
20 views

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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0answers
27 views

Did people analyze dynamics of very simple LSTMs?

I wonder if researchers tried to understand how LSTMs work by analyzing the dynamics of simple LSTM (e.g. with 2 units)? For example how the hidden state evolves depending on the properties of weight ...
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0answers
515 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 ...
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0answers
80 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 ...
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0answers
43 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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0answers
72 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 ...
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2answers
281 views

Can an AI distinguish between good and bad according to people living in a restricted geographical area? [closed]

Would people go far with Artificial Intelligence and machine learning to the point where machines could learn during a long period of time to distinguish what's 'good' from 'bad' according to people ...
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1answer
2k 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 ...
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264 views

What are some examples of classical AI methods?

All of the attention in the AI field over the past few years has been toward statistical AI, now that Machine Learning has been validated on hard problems. However, I want to learn more about ...
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1answer
53 views

What is "Pattern Theory"?

I came across Grenander's work "Probabilities on Algebraic Structures" recently and found that much of Grenander's work focused on what he called "Pattern Theory." He's written ...
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1answer
45 views

The are some fundamental learning theories for developing an AI that imitates human behavior

Most if not all AI systems are not to imitate human, but to finally out-perform human. Examples include using AI to play a game, classification problems, auto-driving, and goal-oriented chatbots. ...
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1answer
85 views

How artificial intelligence will change the future?

AI is the emerging field and biggest business opportunity of the next decade. It's already automating manual and repetitive tasks. And in some areas, it can learn faster than humans, if not yet as ...
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1answer
52 views

What is the theoretical basis for the use of Cross Validation set?

So let's follow this line of reasoning. We use a MLE estimator (implementation doesn't matter) and we have a train set. We assume that we have sampled training set from a Gaussian distribution $\...
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1answer
40 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 ...
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1answer
39 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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2answers
76 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. ...
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1answer
180 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 ...
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1answer
51 views

Flowchart for a simplified perceptron leaning algorithm [critique request]

I made a flowchart for a simplified perceptron leaning algorithm. Here is the process of the leaning algorithm. Step_1: Initialize the weights first. Step_2: Get a training example randomly and make ...
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0answers
29 views

What would happen if we set the evaluation function in the best-first search algorithm as the cost of paths taken to new nodes?

I am reading AI: A Modern Approach. In Chapter 3, Section 3.3.1, The best-first search algorithm is introduced. We learn that in each iteration, this algorithm chooses which node to expand based on ...
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31 views

How would you differentiate between different on-policy reinforcement learning algorithms?

How would you differentiate between different on-policy reinforcement learning algorithms?
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0answers
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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 ...
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272 views

Analogies and similarity

The more I think about machine learning the more I realize the importance of finding similarities by using analogies as a way of learning. If I want to categorize words into hierarchical tree this ...
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1answer
121 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?
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164 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....
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2answers
50 views

Is it theoretically possible (or impossible) that principal component analysis worsens the performance of the model?

In case I had a prediction model and decided to add a PCA step prior to the model, is it theoretically possible/impossible that the number of output dimensions that is better for all tests may perform ...
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1answer
91 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 ...
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1answer
56 views

How important will statistical learning be to a conscious AI?

Deep learning is based on getting a large number of samples and essentially making statistical deductions and outputting probabilities. On the other hand we have formal programming languages like ...
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1answer
35 views

Fitting a gaussian distribution into another distribution - and correlation with Machine Learning

Assume we have two vectors, containing random samples (maybe audio data?). Their distribution can be approximated to a normal distribution, so we can calculate their mean and standard deviation. I am ...
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28 views

How to detect dynamic hand gestures?

I already know how to detect static hand gestures like fist, peace etc. I wonder however, how to detect dynamic hand gestures like swipe left/right or "draw" circle with hand. Is some kind ...
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110 views

What is the difference between learning agents and other kinds of agents, and more specifically, between performance standard and performance measure?

I am reading AI: A Modern Approach. In the 2nd chapter when introducing different agent types, i.e., reflex, utility-based, goal-based, and learning agents, I understood that all types of agents, ...
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35 views

Is it a good idea to train a neural network to classify images without base-hypothesis?

I'm a relative beginner in deep-learning (understand by that, I'm doing my first kaggle competition right now, and I have loads to learn still) and I was just wondering something. Let's say you have ...
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29 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 ...
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5answers
319 views

Is it possible for an AI to work in a computer without the power cord being plugged in?

Could an Artificial Intelligence be able to interact (see, talk, etc.) with someone even when there's no power cord connected to the machine it's running on? Might it find some way to generate its own ...

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