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.

Filter by
Sorted by
Tagged with
1
vote
0answers
30 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 ...
2
votes
1answer
34 views

Is there any practical application of knowing whether a concept class is PAC-learnable?

A concept class $C$ is PAC-learnable if there exists an algorithm that can output a hypothesis with probability at least $(1-\delta)$ (the "probably" part), and an error that is less than $\epsilon$ (...
3
votes
3answers
62 views

What are some use cases of few-shot learning?

Besides computer vision and image classification, what other use cases/applications are for few-shot learning?
0
votes
0answers
12 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: ...
1
vote
2answers
46 views

What kinds of techniques do autopilots of autonomous cars use?

What kinds of techniques do autopilots of autonomous cars (e.g. the ones of Tesla) use? Do they use reinforcement learning? Which types of neural network architecture do they use?
2
votes
2answers
54 views

Could machine learning be used to measure the distance between two objects from a picture or live camera?

Could machine learning be used to measure the distance between two objects from a picture or live camera? An example of this is the measurement between the centre of each eye pupil. This area is ...
1
vote
0answers
29 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. ...
1
vote
0answers
32 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 ...
1
vote
0answers
27 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, ...
0
votes
2answers
43 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 ...
2
votes
3answers
316 views

What are the AI technologies currently used to fight the coronavirus pandemic?

The ongoing coronavirus pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as of 26 April 2020, has affected more than 185 ...
7
votes
1answer
68 views

Medical diagnosis systems based on artificial neural networks

Are there any medical diagnosis systems that are already used somewhere that are based on artificial neural networks?
50
votes
11answers
8k views

What are some well-known problems where neural networks don't do very well?

What are some well-known cases, problems or real-world applications where neural networks don't do very well? Specification: I'm looking for specific regression tasks (with accessible data-sets) ...
1
vote
0answers
38 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 ...
2
votes
1answer
70 views

Is reinforcement learning suited for real-time systems?

From what I have seen, any results involving RL almost always take a massive number of simulations to reach a remotely good policy. Will any form of RL be viable for real-time systems?
1
vote
0answers
50 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 ...
2
votes
1answer
34 views

Have GANs been used to solve regression problems?

I've noticed that in the last 2 years GANs have become really popular. I know that initially they have been proposed for image classification but I was curious if any of you are aware of any papers ...
2
votes
1answer
51 views

Should I prefer the model with the lowest validation loss or the highest validation accuracy to deploy?

I trained a ResNet20 on Cifar10 and obtained the following learning curves. From the figures, I see at epoch 52, my validation loss is 0.323 (the lowest), and my validation accuracy is 89.7%. On the ...
2
votes
1answer
41 views

How can I perform lane detection with reinforcement learning?

I'm quite new to reinforcement learning and my project will consist of detecting lanes with RL. I'm using q-learning and I'm having a hard time thinking how my q table should look like, I mean - ...
2
votes
1answer
62 views

What are advantages of using meta-heuristic algorithms on optimization problems?

What are the advantages and disadvantages of using meta-heuristic algorithms on optimization problems? Simply, why do we use meta-heuristic algorithms, like PSO, over traditional mathematical ...
1
vote
1answer
77 views

CycleGAN for paired data

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, ...
2
votes
0answers
32 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 ...
1
vote
3answers
106 views

Are there any public real-life code examples of ML applications in Python?

Problems I often face at work usually differ from tutorial or book-like examples so I end up with a code that works but it's not elegant and takes too much time to write. I wanted to ask you if there ...
2
votes
0answers
61 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 ...
3
votes
1answer
72 views

Can OpenAI simulations be used in real world applications?

I know that classical control systems have been used to solve the problem of the inverted pendulum - inverted pendulum. But I've seen that people have also used machine learning techniques to solve ...
2
votes
1answer
84 views

Why can't LSTMs tell a long story?

There is a recent trend in people using LSTMs to write novels. I haven’t attempted this myself. From what I’m hearing, they can tell a story, but it seems they lose the context of the story rather ...
3
votes
0answers
41 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?
3
votes
2answers
94 views

How do I predict the occurrence of rare events?

I am trying to predict crime. I have data with factors: location, keyword description of the crime, time crime occurred and so on. This is for crimes that occurred in the past. I would like to treat ...
4
votes
2answers
72 views

What are the best algorithms for image segmentation tasks?

I recently started looking for networks that focus on image segmentation tasks related to biomedical applications. I could not miss the publication U-Net: Convolutional Networks for Biomedical Image ...
3
votes
1answer
67 views

Can alpha-beta pruning be used for applications apart from games?

Can alpha-beta pruning/ minimax be used for systems apart from games? Like for selecting the right customer for a product, etc. (the typical data science problems)? I have seen people do it, but can't ...
1
vote
2answers
114 views

Is artificial intelligence and, in particular, neural networks being used in real-world critical applications?

Is artificial intelligence and, in particular, neural networks being used in real-world critical applications and devices? I had a discussion with my colleague who states that nobody would use ...
1
vote
1answer
84 views

An “elevator pitch” breakdown of areas of applications for Reinforcement Learning & Neural Networks vs. Genetic Algorithms

I'm looking for an "elevator pitch" breakdown of areas of applications for Reinforcement Learning & Neural Networks vs. Genetic Algorithms, both actual and theoretical. Links are welcome, but ...
2
votes
1answer
69 views

In what ways can financial markets be hacked? [Algorithmic Trading]

There was a recent question on adversarial AI applications, which led me to start digging around. Here my interest is not general, but specific: What are the vulnerabilities of automated trading ...
0
votes
0answers
69 views

Can AI improve the online casino experience?

I read this German article and was wondering if there was any truth in it? Wie kann die KI das Casino-Erlebnis verbessern? (How can AI improve the casino experience?) Is this article accurate and ...
5
votes
4answers
190 views

Can Artificial Intelligence be utilized for religious needs?

Artificial Intelligence is often utilized to increase the productivity. A typical example is a pick&place robot arm who helps a company to reduce the costs. The idea is, that the robotarm works ...
4
votes
1answer
57 views

What are examples of optimization problems that can be solved using a genetic algorithm?

I'm trying to learn how a genetic algorithm can solve optimization problems. I have already learned how a genetic algorithm can solve knapsack, TSP and set cover problems. I'm looking for some other ...
5
votes
1answer
97 views

What are the real-life applications of Transfer Learning in Machine Learning?

What are the real-life applications of Transfer Learning in Machine Learning? I am particularly interested in industrial applications of the concept.
11
votes
1answer
697 views

What are all the different kinds of neural networks used for?

I found the following neural network cheat sheet (Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data). What are all these different kinds of neural networks used ...
1
vote
0answers
44 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 ...
3
votes
3answers
95 views

Which movies have the most realistic artificial intelligence?

I want to give some examples of AI via movies to my students. There are many movies that include AI, whether being the main character or extras. Which movies have the most realistic (the most ...
2
votes
2answers
48 views

What are criteria for ML model to be satisfactory for commercial use?

I often read "the performance of the system is satisfactory" or " when your model is satisfactory". But what does it mean in the context of Machine Learning? Are there any clear and/or generic ...
5
votes
1answer
110 views

Examples of ontologies made with AI

I'm looking for more or less successful artificial intelligence usage examples to build an ontology or rationale why it can't be done. I found a lot of articles on how to use ontologies for AI, but ...
2
votes
1answer
71 views

Using ML to analyze Facebook posts

First of all, I should mention that I have a very basic knowledge of ML so I apologize if this question seems trivial or stupid. I am working on a small personal project, basically an app that ...
0
votes
0answers
40 views

How to recognize arbitrary symbols within an image?

I want to investigate whether I could use AI to count arbitrary symbols on an image. Here's an example image like one I would be talking about, I wanted to know if there's an algorithm or an ...
3
votes
1answer
122 views

Applications of AI for creatives and artists

I have just watched a few videos on Tedtalks talking about how AI benefits creatives and artists but none of the videos I watched provided further resources for reference. So far, I have only came ...
6
votes
1answer
81 views

Suicide Predictor and Locator

Suicide is on the increase in my country and most victims tend to leave early traces from text messages, social media accounts, search engine queries. So I came up with the idea to develop an AI ...
2
votes
0answers
68 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?
2
votes
1answer
256 views

How do I find the distance?

I am looking for solving this problem with training a deep learning-based classifier or image processing techniques. ps. I exactly do not need to know how much is distance, I only need to know whether ...
2
votes
2answers
553 views

Do VR, AR and MR use any machine learning or deep learning?

I wonder if Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) use any machine learning or deep learning? For example in AR, the virtual objects are brought into the real world, does ...
3
votes
1answer
108 views

What are the applications of ant colony optimization algorithms?

I'm interested in ant colony optimization algorithms and bee algorithms,but I'm confused what are the applications of these algorithms Can you suggest me some examples of applications can I work on?