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.

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45 views

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 ...
1 vote
2 answers
108 views

How to train a model to predict the number of people at a certain bus stop before they cumulate in large numbers?

Each person probably uses an app that tracks his/her position periodically and sends it to our servers. What I want is to use these data to train a model to predict the rush hours of each bus-stop on ...
0 votes
0 answers
18 views

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 ...
-3 votes
0 answers
26 views

I require couple of opinions on some questions I have regarding Artificial Intelligence. It would be great if one of you can help answer my querries [closed]

Question 1: What is generative AI and how does it work? Question 2: Can generative AI be used in an innovative way by organizations for strategic purposes, such as to reduce product/service cost, ...
2 votes
1 answer
169 views

How to translate sudoku XV boards in CNF format?

I'm trying to implement the logic for a Sudoku XV puzzle, that it's essentially a standard sudoku with the addition of X and V markers between some pairs of squares. X markers in adjacent pairs ...
0 votes
0 answers
14 views

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]...
0 votes
1 answer
476 views

How to do early classification of time series event with small dataset?

I would like to build a real-time binary classifier that can predict an event of interest that is occurring as soon as it starts. These are electromyographic signals, and the event classification ...
2 votes
2 answers
203 views

How to design a recommendation system for shift swapping?

I need to design an algorithm such that it handles the request for shift swapping. The algorithm will recommend a list of people who are more likely to swap that shift with the person by analyzing ...
3 votes
2 answers
233 views

Which online machine learning technique to use for multi-class classification problem with multiple inputs?

I have the following problem. We have $4$ separate discrete inputs, which can take any integer value between $-63$ and $63$. The output is also supposed to be a discrete value between $-63$ and $63$. ...
-1 votes
1 answer
42 views

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 ...
3 votes
4 answers
278 views

What type of AI would you recommend for this complex problem?

I'm trying to develop a kind of AI that will assist in debugging a large software system while we run test cases on it. The AI can get access to anything that the developers of the system can, namely ...
0 votes
1 answer
66 views

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 ...
0 votes
0 answers
30 views

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 ...
0 votes
0 answers
5 views

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 ...
10 votes
2 answers
4k views

Is Nassim Taleb right about AI not being able to accurately predict certain types of distributions?

So Taleb has two heuristics to generally describe data distributions. One is Mediocristan, which basically means things that are on a Gaussian distribution such as height and/or weight of people. The ...
2 votes
1 answer
271 views

How to implement RAM versions of Atari games

I have coded the breakout RAM version, but, unfortunately, its highest reward was 5. I trained it for about 2 hours and never reached a higher score. The code is huge, so I can't paste here, but, in ...
1 vote
1 answer
258 views

Which model can I use for this problem with multiple inputs and outputs?

Which model is the most appropriate for this problem with multiple inputs and outputs? The data set is A1, A2, A3, A4, A5, A6, B1, B2, B3, B4 where ...
0 votes
0 answers
36 views

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 ...
0 votes
0 answers
12 views

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 ...
1 vote
0 answers
26 views

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 ...
1 vote
1 answer
73 views

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 ...
8 votes
2 answers
398 views

How can I solve the zero subset sum problem with hill climbing?

I want to solve the zero subset sum problem with the hill-climbing algorithm, but I am not sure I found a good state space for this. Here is the problem: consider we have a set of numbers and we want ...
-1 votes
1 answer
1k views

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:...
0 votes
0 answers
82 views

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 ...
0 votes
0 answers
31 views

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 ...
3 votes
1 answer
329 views

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, ...
0 votes
1 answer
72 views

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 ...
0 votes
1 answer
180 views

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, ...
2 votes
1 answer
362 views

Is there an AI tool to reverse engineer scanned data to obtain its CAD file?

Today, if you scan an object and want its CAD file (Solidworks/Autocad), you need to use reverse engineering software (Geomagic). This takes time and you need experience of the software tools. Is ...
4 votes
3 answers
275 views

Will we be able to build an artificial intelligence that feels empathy?

Nowadays, robots or artificial agents often only perform the specific task they have been programmed to do. Will we be able to build an artificial intelligence that feels empathy, that understands ...
0 votes
1 answer
48 views

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 ...
0 votes
1 answer
34 views

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 (...
2 votes
2 answers
96 views

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 ...
0 votes
0 answers
30 views

Which algorithm should I use to determine if users would enjoy various restaurants?

Lets say I have lots of location-based and demographic data on a user. I know their age, what restaurants they visit most often, what they have rated them on Yelp, the type of food & ambiance they ...
0 votes
0 answers
16 views

what's the best way of Inferring probability chance of heads with a coin of Unknown Bias that changes regularly

hi what would be the best strategy to infer the range of probabilities of getting heads with a coin of Unknown Bias that is variable? I'm working on a similar problem with a game AI. I'm working on a ...
0 votes
1 answer
28 views

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 ...
2 votes
2 answers
187 views

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 votes
2 answers
4k views

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 ...
0 votes
0 answers
49 views

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 ...
0 votes
1 answer
40 views

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 ...
3 votes
1 answer
80 views

A model for each sub-problem vs one model for the whole problem

Let's say one wants to use a neural net to learn some function $g(x)$. Let's say that we know that $g$ is a combination of two functions (or two sub-problems), $g(x)=f_2(f_1(x))$, and that we have two ...
0 votes
1 answer
125 views

How to add contextual follow up like Google Assistant

I am developing PDA like Google assistant on Android. So far, so good. But now, I want to add contextual follow up like Google assistant so it can keep the train of thought. As demonstrated here- ...
2 votes
1 answer
260 views

Can you build a pure CNN phoneme classification model?

I was making a simple phoneme classification model for a 10 week-long class project and I ran into a small question. Is it possible to create a model that takes a 1-second (the longest phoneme is 0.2 ...
0 votes
0 answers
685 views

Which is the best RL algo for continuous states but discrete action spaces problem

I am trying to train an AI with an environment where the states are continuous but the actions are discrete, that means I can not apply DDPG or TD3. Can someone please help to let know what should be ...
4 votes
1 answer
281 views

Which machine learning method can take a matrix as input?

I am pretty new to the machine learning field. I want to use an $n \times m$ matrix as the input of a model, in order to predict a vector $1 \times m$, both of real numbers. Input data are quite clean,...
3 votes
3 answers
466 views

How could human behavior and relationships be implemented? [closed]

One of the most compelling issues regarding AI would be in behavior and relationships. What are some of the methods to address this? For example, friendship, or laughing at joke? The concept of ...
1 vote
1 answer
232 views

An architecture for classifying distance from origin for a sum of vectors?

I built a three-layer neural network (first is 1D convolutional and the remaining two are linear). It takes an input of 5 angles in radians, and outputs two numbers from 0 to 1, which are respectively ...
1 vote
2 answers
762 views

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 ...
1 vote
0 answers
98 views

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-...
2 votes
0 answers
151 views

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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