Questions tagged [applications]

For questions about clarifications, methods, algorithms or best practices for or examples of (possible) applications of Artificial Intelligence and Machine Learning algorithms.

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153 views

How to detect frauds in advertising business using machine learning?

I am very beginner to this world. I still learning the basics of Machine learning and AI but i have a problem at hand and i am not sure which technique or Algorithm can be applied on it. I am working ...
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26 views

What's up with Neural Stochastic Differential Equations from a practical standpoint?

I've spent a few days reading some of the new papers about Neural SDEs. For example, here is one from Tzen and Raginsky and here is one that came out simultaneously by Peluchetti and Favaro. There are ...
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33 views

Is non-negative matrix factorization for machine learning obsolete?

I am taking a course about using matrix factorization for machine learning. The first thing that came into my mind is by using the matrix factorization we are always limited to linear relationships ...
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45 views

Is the Assumption-based Truth Maintenance System still used?

Is the Assumption-based Truth Maintenance System still used to maintain consistency while explicitly accounting for assumptions?
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47 views

Is there an efficiency swarm Intelligence algorithm for off-chain channels routing in blockchain?

One of the solutions to scale blockchain is to use off-chain channels. You can find its definition here: https://en.bitcoin.it/wiki/Off-Chain_Transactions. However, one of the problems of off-chain ...
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52 views

Why are conics important in computer vision?

The book Multiple View Geometry in Computer Vision by Richard Hartley and Andrew Zisserman talks about lines, points and conics. A conic is a curve described by a second-degree equation in the plane, ...
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49 views

How can I predict the nutrients in dishes given the ingredients used to prepare them?

I want to know which algorithm will work most efficiently for calculating nutrients present in a food dish if I am giving the ingredients used in the food. Basically, let us assume that I want to make ...
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297 views

How does deepfake technology work with multiple people in a single frame?

I was watching this video from corridor crew, according to them, they have used deepfake technology to create this video. I myself have never made a deepfake videos, but I have enough knowledge in the ...
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28 views

Can neuro-fuzzy systems be used for supervised learning tasks with tabular data?

Is it possible to use neuro-fuzzy systems for problems where ANNs are currently being used, for instance, when you have tabular data for regression or classification tasks? What kind of advantage can ...
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52 views

What are the main technologies needed to build an AI for Warcraft 3's mod DotA?

What are the main technologies needed to build an AI for Warcraft 3's mod Defense of the Ancients (DotA)? Maybe I can take inspiration from OpenAI's work.
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74 views

Why is graph convolution network in time-varying graphs useful for anomaly detection?

In this paper, the authors refer to the application of time-varying graphs as an open problem. And they say it will be useful for anomaly detection in financial networks, etc. But why is that useful?
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38 views

Can neuroevolution be used for solving tasks other than games?

I'm seeing a lot of examples of neuroevolution techniques involving games or robot problems. Can neuroevolution be used for solving tasks other than games? For example, how could you transform a CSV ...
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328 views

How Swarm Intelligence can empower Blockchain?

Are there examples of applications in blockchain consensus using swarm intelligence, as opposed to classical consensus mechanisms like PoW or PBFT? Please note that recent classical consensuses, ...
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47 views

What are the use-cases of self-replicating neural networks?

I started researching the subject of self-replication in neural networks, and unexpectedly I saw that there is not much research on this subject. I should mention I am new in the field of NNs. This ...
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15 views

Why is domain adaptation and generative modelling for knowledge graphs still not applied widely in enterprise data? What are the challenges?

I see that domain adaptation and transfer learning has been widely adopted in image classification and semantic segmentation analysis. But it's still lacking in providing solutions to enterprise data, ...
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43 views

How is depth perception (e.g. in autonomous driving) addressed without using a Lidar or Radar unit?

For practical applications, like autonomous driving, depth perception is needed to make useful decisions. How is this normally addressed without using a LIDAR or RADAR unit (but using a camera)?
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113 views

Creating 4k HDR video from 720p footage

So, my company recently bought a big 4k HDR TV for our reception, where we keep showing some videos that were originally shot/created at 720p resolution. Before this, we had a relatively small HD TV, ...
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39 views

Is there an AI system that, given a patient's symptoms, produces a diagnosis and suggests a treatment?

Is there an AI system (preferably, one that interacts with the human, such as a chatbot like this one) that, given some input (e.g. entered into the system by writing text), such as a person's ...
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46 views

What are some real-world products or applications that can be developed using GANs?

GANs have shown good progress across a wide variety of domains ranging from image translation, image generation, text to image synthesis, audio/video generation, image super-resolution and many more. ...
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99 views

What are the pros and cons of deep learning and machine learning to develop a trading system?

As I want to start coding a new Trading AI in this year (first based on Python and later maybe in C++) I stumbled over the following question: Today, I would like to make a pro/contra list with you ...
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52 views

Use cases for AI inside the software company

This question is a bit philosophic and is about making new use cases for software companies. Let me describe what exist for now, why it is not enough, and what is needed. I know that there are a lot ...
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56 views

How should I define the state space for this life science problem?

I would like to ask for a piece of advice with regard to Q-learning. I am studying RL and would like to do a basic project applied to life science and calculate the reward. I have been trying to get ...
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133 views

Is it useful to train a CycleGAN in a supervised setting?

I am very interested in the application of CycleGANs. I understand the concept of unpaired data and it makes sense to me. But now a question comes to my mind: what if I have enough paired image data, ...
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51 views

Is there a GAN that can be used for sequence prediction?

I want to use a GAN for sequence prediction, in a similar way that we use RNNs for sequence prediction. I want to test its performance in comparison with RNNs. Is there a GAN that can be used for ...
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75 views

Dialects classification using deep learning

Dialects differ a lot between cities in my country, Syria. People sometimes express themselves using different local phrases and idioms which refer to the same topic. So, I came up with the idea of ...
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107 views

What is the relation between optimality theory and AI?

How do the basic components optimality theory apply to artificial intelligence? How is optimality theory related to neural network research?
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88 views

Where or for what could genetic algorithms be used in the context of project management?

Where or for what could genetic algorithms (GA) be used in the context of project management (PM)? I thought about task dispatching, but I'm looking for other potential uses of GAs in the context of ...
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28 views

ML method for detecting which individuals are best predicted by the features

Broad question to help in finding an appropriate method. So I have a given feature set of (DNA/genetic) predictors and a group of individuals which are either cases or controls for diseaseX. While I ...
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1answer
80 views

Best ways of leveraging AI for stock market trading

What are the current popular approaches to leveraging AI for stock price prediction? It seems like there could be several approaches and problem formulations: Supervised learning: Regression: ...
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2answers
66 views

Which NLP applications are based on recurrent neural networks?

Some of the NLP applications taken from this link NLP Applications: Machine Translation Speech Recognition Sentiment Analysis Question Answering Automatic Summarization Chatbots Market Intelligence ...