Questions tagged [applications]
For questions about applications of Artificial Intelligence (and Machine Learning) algorithms.
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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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Is it possible to train the neural network to solve math equations?
I'm aware that neural networks are probably not designed to do that, however asking hypothetically, is it possible to train the deep neural network (or similar) to solve math equations?
So given the ...
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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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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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When is deep learning overkill?
For example, for classifying emails as spam, is it worthwhile - from a time/accuracy perspective - to apply deep learning (if possible) instead of another machine learning algorithm? Will deep ...
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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 ...
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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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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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What are all the different kinds of neural networks used for? [closed]
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 ...
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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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Is AI programming useful in everyday programs?
I'm curious about Artificial Intelligence. In my regular job, I develop standard applications, like websites with basic functionalities, like user subscription, file upload, or forms saved in a ...
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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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Can an AI be trained to generate the outline of a story?
I know that one of the recent fads right now is to train a neural network to generate screenplays and new episodes of e.g. the Friends or The Simpsons, and that's fine: it's interesting and might be ...
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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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Could there be existential threats to humanity due to AI?
We are doing research, spending hours figuring out how we can make real AI software (intelligent agents) to work better. We are also trying to implement some applications e.g. in business, health and ...
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What are some examples of Statistical AI applications?
I believe that statistical AI uses inductive thought processes. For example, deducing a trend from a pattern, after training.
What are some examples of successfully applied Statistical AI to real-...
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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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Have capsule neural networks been used to NLP problems?
The capsule neural network seems to be a good solution for problems that involve hierarchies. For example, a face is composed of eyes, a nose and ears; a hand is made of fingers, nails, and a palm; ...
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Examples of uses of artificial intelligence at work
I'm going to give a talk, and I'm preparing the material. The purpose of the conversation is to convince companies in my region that it is possible to apply artificial intelligence in solving everyday ...
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In what ways is the term "topology" applied to Artificial Intelligence?
I have only a general understanding of General Topology, and want to understand the scope of the term "topology" in relation to the field of Artificial Intelligence.
In what ways are ...
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Can AI stop attacks like WannaCry?
I have done some research regarding the application of machine learning to cyber-security. After these recent attacks (like WannaCry), I think that AI-based cyber defense can prevent them. I have also ...
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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 ...
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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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What are the main benefits of using Bayesian networks?
I have some trouble understanding the benefits of Bayesian networks.
Am I correct that the key benefit of the network is that one does not need to use the chain rule of probability in order to ...
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How can fuzzy logic be used in creating AI?
Fuzzy logic is the logic where every statement can have any real truth value between 0 and 1.
How can fuzzy logic be used in creating AI? Is it useful for certain decision problems involving multiple ...
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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?
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Can GANs be used to generate something other than images?
AFAIK, GANs are used for generating/synthesizing near-perfect human faces (deepfakes), gallery arts, etc., but can GANs be used to generate something other than images?
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Concrete examples of OpenCog's functionality
Does anyone know what specific tasks the OpenCog environment is capable of performing? I have glanced though their wiki and a few of the pages on Goertzel's site and the AI.SE. So far I could only ...
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How could AI solve planet's major problems?
I had been reading that AI could solve planet's major problems. How could it be done? For example, how exactly could AI be applied to address climate change? What are examples of applications of AI to ...
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Do you know any examples of geometric deep learning used in industry?
I'm interested in the industrial use of GDL (see https://arxiv.org/abs/1611.08097). Is it used in industry? That is, does any company have access to non-Euclidean data and process it directly instead ...
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Can Machine Learning be applied to decipher the script of lost ancient languages?
Can Machine Learning be applied to decipher the script of lost ancient languages (namely, languages that were being used many years ago, but currently are not used in human societies and have been ...
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What does deep learning offer with respect to standard machine learning?
I've been reading a lot about DL. I can understand to an extent how it works, in theory at least, and how it's technically different from conventional ML. But what I'm looking for is more of a "...
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Emulating human brain - with analogous NN chips
Considering the answers of this question, emulating a human brain with the current computing capacity is currently impossible, but we aren't very far from it.
Note, 1 or 2 decades ago, similar ...
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Can I use AI to interpret XML documents?
I think about a system which gets XML documents in various structures but with essentially the same data structure in it. For the example, let's assume each document contains data about one or more ...
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What are the real-life applications of transfer learning?
What are the real-life applications of transfer learning in machine learning? I am particularly interested in industrial applications of the concept.
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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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Can reinforcement learning algorithms be applied to computer vision problems?
Can reinforcement learning algorithms be applied to computer vision problems? If yes, what are some examples of these applications?
user3751
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Is AI capable to replace pilots entirely on the commercial flights?
Since we've self-driving cars already, would we have self-flying commercial flights in the near future? Basically the AI which can do take off, flying, landing and parking.
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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 ...
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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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How can I create an artificially intelligent aimbot for a game like CS:GO?
How can I create an artificially intelligent aimbot for a game like Counter-Strike Global Offensive (CS:GO)?
I have an initial solution (or approach) in mind. We can train an image recognition model ...
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Are there real applications of fuzzy logic?
This question covers in detail, what fuzzy logic is and how it relates to other math fields, such as boolean algebra and sets theory.
This question is also very related, but the answers are focused ...
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What are some examples of Classical AI applications?
I believe that Classical AI uses deductive thought processes. For example, given as a set of constraints, deduce a conclusion.
What are some examples of successfully applying Classical AI to real-...
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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 ...
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Which problems in information security can be solved better using neural networks?
Information security has become a thriving field during the last years. It is a broad domain ranging from planing and building over testing to operating different applications, systems and networks in ...
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Why should we study causation in artificial intelligence?
Judea Pearl won the 2011 Turing Award
For fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning.
He is credited with the ...
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How do recommendation systems work?
How do recommendation systems (e.g. on Youtube) work? Apparently, every user gets different recommendations depending on his location, his past liked videos, etc. So it would seem like a training ...
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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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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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Which artificial intelligence algorithms could use tensor specific hardware?
AI algorithms involving neural networks can use tensor specific hardware. Are there any other artificial intelligence algorithms that could benefit from many tensor calculations in parallel? Are ...
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