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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3answers
929 views

Is there any research on the application of AI for drug design?

Is there any research on the application of AI for drug design? For example, you could train a deep learning model about current compounds, substances, structures, and their products and chemical ...
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1answer
124 views

How can genetic programming be used for path planning?

I have been reading quite a few papers, on genetic programming and its applications, in particular, chapter 10 of "Genetic Programming: An Introduction and Tutorial, with a Survey of Techniques ...
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2answers
163 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 ...
3
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1answer
580 views

How machine learning can help with sustainable development and biological conservation?

Recently White House published the article: Preparing for the Future of Artificial Intelligence which says that the government is working to leverage AI for the public good and toward a more effective ...
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2answers
225 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 ...
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0answers
27 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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3answers
9k views

How is Bayes' Theorem used in artificial intelligence and machine learning?

How is Bayes' Theorem used in artificial intelligence and machine learning? As a high school student, I will be writing an essay about it, and I want to be able to explain Bayes' Theorem, its general ...
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2answers
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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2answers
946 views

What are the biggest barriers to get RL in production?

I am studying the state of the art of Reinforcement Learning, and my point is that we see so many applications in the real world using Supervised and Unsupervised learning algorithms in production, ...
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0answers
36 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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11answers
10k views

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

Background: It's well-known that neural networks offer great performance across a large number of tasks, and this is largely a consequence of their universal approximation capabilities. However, in ...
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2answers
1k views

Is the expert system still in use today?

In my country, the Expert System class is mandatory, if you want to take the AI specialization in most universities. In class, I learned how to make a rule-based system, forward chaining, backward ...
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0answers
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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2answers
107 views

Is it possible to generate “Karel the robot” programs with genetic programming?

Karel the robot is an education software comparable to turtle graphics to teach programming for beginners. It's a virtual stack-based interpreter to run a domain-specific language for moving a robot ...
5
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1answer
450 views

How can genetic programming be used in the context of auto-encoders?

I am trying to understand how genetic programming can be used in the context of auto-encoders. Currently, I am going through 2 papers Training Feedforward Neural Networks Using Genetic Algorithms (a ...
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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 ...
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1answer
129 views

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

I'm trying to learn how genetic algorithms can solve optimization problems. I have already learned how genetic algorithms can solve the knapsack, TSP and set cover problems. I'm looking for some other ...
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0answers
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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5answers
5k views

What exactly are genetic algorithms and what sort of problems are they good for?

I've noticed that a few questions on this site mention genetic algorithms and it made me realize that I don't really know much about those. I have heard the term before, but it's not something I've ...
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2answers
340 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?
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1answer
130 views

What is a “learned emulator”?

In this article, the term "learned emulator" is used. Recently, scientists have started creating "learned emulators" using AI neural network approaches, but have not yet fully ...
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1answer
230 views

What are the fundamental differences between VAE and GAN for image generation?

Starting from my own understanding, and scoped to the purpose of image generation, I'm well aware of the major architectural differences: A GAN's generator samples from a relatively low dimensional ...
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1answer
81 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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1answer
57 views

Can you use machine learning for binary data?

I am totally new to artificial intelligence and neural networks and have a broad question that I hope is appropriate to ask here. I am an ecologist working in animal movement and I want to use AI to ...
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2answers
326 views

How do I determine whether a truck is inside its lane?

I have a bunch of images from different trucks passing the road. Here is an example. The truck needs to be at a certain distance from the border of the lane. Some of the trucks are way close to the ...
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1answer
190 views

Can we use transformers for audio classification tasks?

Since transformers are good at processing sequential data, can we also use them for audio classification problems (same as RNNs)?
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3answers
8k views

How do I choose the best algorithm for a board game like checkers?

How do I choose the best algorithm for a board game like checkers? So far, I have considered only three algorithms, namely, minimax, alpha-beta pruning, and Monte Carlo tree search (MCTS). Apparently,...
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1answer
678 views

How could we solve the TSP using a hill-climbing approach?

How could we solve the TSP using a hill-climbing approach?
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1answer
67 views

Why can't DQN be used for self-driving cars?

Why can't DQN be used for self-driving cars? Why can't DQN and similar RL algorithms be used for self-driving cars? The reason why I am curious is that it successfully plays go and other multistate ...
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1answer
134 views

What kind of problems is DQN algorithm good and bad for?

I know this is a general question, but I'm just looking for intuition. What are the characteristics of problems (in terms of state-space, action-space, environment, or anything else you can think of) ...
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2answers
110 views

What are examples of problems where neural networks have achieved human-level or higher performance?

What are examples of problems where neural networks have been used and have achieved human-level or higher performance? Each answer can contain one or more examples. Please, provide links to research ...
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0answers
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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1answer
197 views

Where are reinforcement algorithms used in financial services?

One of the most common misconceptions about reinforcement learning (RL) applications is that, once you deploy them, they continue to learn. And, usually, I'm left having to explain this. As part of my ...
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1answer
112 views

Is there any programming language designed by deep learning?

I know that AI can be used to design printed circuit boards (PCBs), so it can be used to solve complex tasks. Is there any programming language designed by deep learning (or any other AI technique)?
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3answers
1k views

What are examples of applications of the Fourier transform to AI?

The (discrete and continuous) Fourier transform (FT) is used in signal processing in order to convert a signal (or function) in a certain domain (e.g. the time domain) to another domain (e.g., ...
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1answer
81 views

Are there any meaningful books entirely written by an artificial intelligence?

Are there any meaningful books entirely written by an artificial intelligence? I mean something with meaning, unlike random words or empty books. Something that can be charactersed as fiction ...
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1answer
2k views

How could I use reinforcement learning to solve a chess-like board game?

I invented a chess-like board game. I built an engine so that it can play autonomously. The engine is basically a decision tree. It's composed by: A search function that at each node finds all ...
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3answers
8k views

Are there any applications of reinforcement learning other than games?

Is there a way to teach reinforcement learning in applications other than games? The only examples I can find on the Internet are of game agents. I understand that VNC's control the input to the ...
3
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1answer
144 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 - ...
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0answers
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, ...
2
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3answers
374 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 29 September 2020, has affected many countries ...
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1answer
57 views

Are neural networks really used apart from specific hi-tech organisations?

This is a generic question. Still posting it to get insights from experts in the field. I am interested in knowing if Neural Networks are used in general apart from specific hi-tech organizations. If ...
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0answers
134 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, ...
2
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1answer
114 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 ...
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0answers
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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2answers
1k views

Is it possible to use AI to reverse engineer software?

I was thinking of something of the sort: Build a program (call this one fake user) that generates lots and lots and lots of data based on the usage of another program (call this one target) using ...
2
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1answer
150 views

What is the scope of real-world deep learning applications in 2020?

2015 was a milestone year for AI--"deep learning" was validated in a very public way with AlphaGo. However, at the time, the question was raised: "What else is deep learning good for?&...
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2answers
1k views

When is the Markov decision process not adequate for goal-directed learning tasks?

In the book Reinforcement Learning: An Introduction (Sutton and Barto, 2018). The authors ask Exercise 3.2: Is the MDP framework adequate to usefully represent all goal-directed learning tasks? ...
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1answer
56 views

Do transformers have success in other domains different than NLP?

Everybody knows how successful transformers have been in NLP. Is there known work on other domains (e.g that also have a sequential natural way of occurring, such as stock price prediction or other ...
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1answer
768 views

How do AIs like Siri and Alexa respond to their names being called?

AIs like Siri and Alexa respond to their names being called. How does the system recognize the name by ignoring all the other words that have been said before their name? For example, "Hey Siri&...