Questions tagged [ai-design]
For questions related to the design of AI agents, algorithms, or models. If your question is about designing neural networks, reward functions, or fitness functions, you can use the associated more specific tags "neural-network-design", "reward-design" and "fitness-design", respectively.
284
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cause and effect
I watched a tutorial video on AI. The author stated these:
1: "Any device that can perceive its environment and take action accordingly has AI."
2: "AI understands the cause and ...
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37
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Is there a state-based approach to neural networks?
It occurred to me that neural networks operate like straight-line programs: an input is processed once by the layers, and an output is always immediately formed, in the same amount of time for each ...
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Symbolic AI in the medical field, specifically in diagnosing a patients condition. Have i understood the concept behind how it works?
This scenario should demonstrate just how the system along with the rule works in a medical diagnosis where the symptoms of the patient are evaluated by the system to determine what condition he/she ...
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Regression loss conditioned by the ground-truth values
I'm working on a regression problem with a CNN in which the input is a single image, and the output is an angle in degrees (which determines a specific measure related to the image).
Sometimes, the ...
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Do "procedurally generated" images use a set of base images to generate new images (as AI generated images do)?
I am new here, and apologize if this question is off-topic.
I know that AI generated images are based on a set or database of real images created by real artists.
In game development, I have heard of ...
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1
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39
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Which algorithm do I need to use to calculate the error?
I am building a neural network for a AI whose goal is to learn to implement the XOR logical function.I have this code so far:
...
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27
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How to differentiate fuzzy matching from artificial intelligence [duplicate]
I am curious about the term "fuzzy matching," and whether it falls under the category of artificial intelligence. Specifically, when can we say that a website or system is using AI, and when ...
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72
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Approximate the chance of a number is prime using neural network
How to create a model that can give an output with a range of 0 to 1 with a sigmoid activation function where the value closer to 0 means the lesser chance that the input number is not prime and the ...
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Cooperation between pattern recognition and neural networks for better design of AI
I continue to try to understand how a human brain works and how we can use it to set up AI which would copy the behavior of a actual person. A few days ago I uploaded a question where I described a ...
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RNN - Time To Stop extimation given non-categorical events sequence
I have a dataset which contains sequences of event of the following type:
Timestamp_s
Timestamp_e
Event_type
I've preprocessed the data to create sequences of the shape [seq_size, unique_codes_count]...
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1
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42
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Hardware for EdgeML/EmbeddedML [closed]
I want to learn more about EdgeAI or EmbeddedML, whatever term you like best.
I played with an Arduino Nano, running some of the tutorial projects (motion detection), but I don't think it is up to ...
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Simple model to predict road traffic?
Given GPS tracking data of many trips belong to different drivers, different type of vehicles
Each GPC point recorded after 10 seconds
I can map matching the GPS data back to the roads sections
Right ...
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Multi Output Regression but num of objects to predict vary per sample
so recently I came across a problem of predicting the positions of objects from a pulse wave. My biggest concern here is that for each data sample, the number of objects varies. I know that this ...
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Is regression method the best for my case?
newbie here. I'm starting to work on a custom model for a very specific task, so I found no pre-trained models for this task so far.
After checking (un)supervised learning approaches I believe that ...
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Consider an AI Image generation system AI IMAGe. How hard is it to remove specific images from the training dataset and all traces of the images?
Consider an AI image generation system called AI IMAGE. Suppose someone wanted to remove 100 of their photos that had been used to train AI IMAGE for a year in generating images. Would it be easy to ...
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27
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How to approach abstract art image AI captioning [closed]
I tried sachin/vit2distilgpt2 to caption an abstract image I have, and it seemed to output a blank string for the caption. I'm new to this, but my goal is to ...
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Where would If my goal was to do OCR pdf text extraction on 1000s of PDFs I have?
So I have lots of data (pdfs) that I want to train an AI model to extract info from. All of them are a little different but have the same key data points. Is it possible to train an AI on the pdfs I ...
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can GPU crypto mining rigs be converted to train or run AI? [closed]
SHORT VERSION:
"I've got a bunch of GPU mining rigs, surely I can do something useful with them like train my own AI or provide hashing power to astronomy or genome folding operations?"
TLDR:...
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100
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Can AI be used for submarine detection?
Recently a lot of work has been done in connection to using AI in the search for extraterestrial life, the SETI project.
Could the same methodology be used by the military, in order to detect ...
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32
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How to build text to video and create AI avatar speaking the text?
There are so many text-to-video tools available online like synthesia ai, elai io. I like to build project like this. Can anybody tell how does these built and how it works?
I know the basics and know ...
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451
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Has anyone tried to train a GPT model predicting the next N tokens instead of the next one token?
I have been thinking about how learning via text works on humans: we read words, and often we need to read ahead a few words to understand more clearly the ideas that we read before. Most of the time, ...
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I understand a neural network is a program, or something similar, but what exactly does it look like while it's learning?
I'm currently working on a novel which has a neural network at its center, and I'm no expert in programming. This might be the wrong place to ask, but I was curious what it looks like if you're ...
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52
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Do different architectures really make a difference or is it just a matter of the training process?
I was wondering which influence different architectures for deep learning truly have on the performance. Of course, substantial changes in the paradigms we use when building neural networks (such as ...
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36
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Causal Inference: Understanding the impact of an intervention
I'm trying to create a pipeline for a very common business scenerio. I want to see whats the impact of an intervention on an outcome. For example I want to know if I send a marketing email (...
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1
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198
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Rebuild Tiktok Manga/Anime AI model
I have a task to build the Tiktok Manga/Anime AI model or the Anime AI model like Snap Edit application.
I have researched and collected several models on Github, but they still are not good enough, ...
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2
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117
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How should I train the players in the game of tag?
I have a simple game of tag, where red player tries to catch the blue player. Red player wins if it catches the blue player in under 10 seconds, but if not, then blue wins.
My goal is to teach the ...
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1
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28
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Is this a better formulation of the Turing test?
Would the Turing test be better formulated by assessing whether the creator (as opposed to a third party) was able to tell the difference between their program and a human?
A magician, through the use ...
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2
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218
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Is Computer Vision always related to Machine Learning?
So I have AI project about motion detection with image subtraction.
Regardless what are the object used, if there are change between two frames according threshold ...
10
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2
answers
4k
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Using AI to extend an imagine pattern
I have created some nice patterns using the MidJourney tool. I'd like to find a way to extend these patterns, and I was thinking about an AI tool that takes one of these patterns and extends it in all ...
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1
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Cross Validation and hyperparameter selection correct procedure
I am trying to run a regression supervised learning problem. The dataset is not very large and I wanted to do some cross-validation to avoid overfitting. As I have read it's important to do a ...
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52
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What reinforcement learning architecture is recommended for multiple outputs in continuous resource management?
I would like to develop an agent to provide resources to multiple machines simultaneously. The overall resources are limited. The agent should distribute the resources in such a way that the machines ...
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1
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42
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Theoretically, how can the trait "humbleness" be incorporated into AI design, specifically Artificial General Intelligence?
On Google Scholar ("humble" and "AI") yields (About 175,000 results), while ("Humble AI") yields about 34 results.
It seems that the trait of "humbleness" and ...
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2
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813
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Musical notes interpretation [closed]
Musical notes
Musical notes videos
Piano
Can AI, Machine learning, Data science, Computer vision, image processing technologies assist in interpreting musical notes ?
Input dataset : Musical notes
...
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How to represent multiple-output logic circuits in tree-based genetic programming
Consider the following digital logic circuit, which has multiple inputs and one output:
The logic circuit above can be represented in tree form:
This tree representation could then be used in a tree-...
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158
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What to look out for when designing an environment regarding observations?
When designing an environment, what should one look out for when designing the observation space to make the environment as easy to be learnable for an agent as possible?
E.g. make sure the markov ...
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1
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98
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What components of reinforcement learning influence the result the most?
I'm working on my thesis concerning a reinforcement learning problem and am trying to prioritise my time on different components of it:
Formalising the agent environment (like the design of state-, ...
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Derive information for sub-scoring from one scoring model
I am currently working in Python with a random forest algorithm to perform a scoring. My output is binary.
The idea now is to derive sub-scores from the above model that give an opinion on different ...
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1
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262
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What is the place of ontologies in artificial intelligence?
Very much a general question here, from a somewhat uneducated perspective.
I'm currently part way through an MSc in AI, and at the minute I am taking a module on Knowledge Engineering and ...
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1
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131
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Appropriate ML algorithm to solve a cutting pattern problem
I have a rectangular area, where I need to place some 2 dimensional geometrical shapes - like a square or circle or a little more complicated shapes. And after the arrangement these shapes should be ...
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2
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750
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Should I repeat lengthy deep learning experiments to average results ? How to decide how many times to repeat?
I am doing my MSc thesis on deep learning. My model takes many hours to train. Part of what I do is trying different parameters and settings hoping that they will achieve different results. But I ...
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1
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81
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How do I prepare my data for a CNN to be applied to a geophysical-related problem?
I am currently doing research work on an inversion of geophysical data using Machine Learning. I have come across some research work where a Convolutional Neural Network (CNN) has been used ...
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2
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79
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How to represent "terminate episode" for Knapsack problem with a Pointer Network?
I am currently implementing a Pointer Network to solve a simple Knapsack Problem. However, I am a bit puzzled over the correct (or common, or "best") way to give the agent the option to stop ...
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Using Human Confirmation in place of a loss Function for Training
Has there been any experimentation in designing an AI to prompt a human to judge the accuracy of it's outcomes? instead of using a loss function, a human can judge the accuracy of it's estimation ...
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674
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How to create a model for predicting the number of visitors
I want to create a model to predict the number of visitors.
Currently, I have a year's csv data for predicting the number of visitors, which is collected every 10 seconds.
I would like to predict the ...
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1
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72
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If we can model the environment, wouldn't be meaningless to use a model-free algorithm?
I am trying to understand the concept of model-free and model-based approaches. As far as I understand, having a model of the environment does not mean that an RL agent has to be model-based. It is ...
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295
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Conditional input deep neural network
I need to input data conditionally to my deep network. In order to explain cases, I'd like to give an example. Assume that I have a 50-attribute dataset. For some attributes, a specific part of hidden ...
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Might AGI need to be flawed?
An example is the halting problem, which states computing cannot be solved by exhaustion, but which humans avoid trivially by becoming exhausted.
Humans typically give up what seems like a lost cause ...
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Video Analysis: Providing a success score for a of a student carrying out a specific task
I have an AI/ML challenge in relation to video analysis and am unsure where to start.
I am investigating an application that will grade students performance of carrying out a task, based on analysis ...
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102
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Any RL approaches for this 2D space optimization problem?
I have a list of rectangles, they are in a certain order in 2D at the beginning. The task is to move them to get the boundary (rectangular) of the minimal area. It's OK to push off the dotted border ...
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AI approach for layout mapping
I am researching different AI approaches and was curious what approach would be useful in my scenario.
Assume you are tiling a room. The tiles, and the room itself, can be any shape. In this room you ...
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