Questions tagged [ai-design]

For questions related to the design of AI agents, algorithms or models.

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60 views

What AI designs are suited for producing title replacements?

Problem: "For a given news article, generate another title for the article if the article is to be published under a different Publication." Which algorithm will be well suited for this? Should I use ...
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1answer
56 views

How to know if a real-time classifier is achivable in a low-power emdedded system?

Say I have an Machine/Deep learning algorithm I developed on a desktop pc to achieve a real-time classification of time series events from a sensor. Once the algorithm is trained and performs good, I ...
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285 views

AI for Selenium Test Automation

I am seeking help to implement my idea on developing an automation test framework that can fix locator related issues by itself. My abstract idea is as given below. I will have a Selenium Test ...
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1answer
176 views

Can AI be used to reverse engineer a black box?

A while back I posted on the Reverse Engineering site about an audio DSP system whose designer had passed away and whose manufacturer no longer had source code (but the question was deleted). ...
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15 views

Is there any solution to the problem of detecting whether a user is having trouble finding something while surfing a webpage?

While a user is navigating through a website, we need to detect whether the user is having trouble finding something in realtime. The output is used to trigger an event that should pop up a FAQ page ...
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1answer
84 views

Do I need a large pool of training data to train a bot to play the 'pegging' game in the cribbage card game

The game of cribbage https://en.wikipedia.org/wiki/Cribbage is a two-player card game played over a series of deal with the goal to reach 121 points. The game's elements are: the discard. There are ...
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1answer
116 views

Is it possible to verify SOP of call center conversation using AI?

As we know in call centers there are certain SOP(standard operating procedure), for example few are below, Agent greeted customer Agent verified the validity of customer before providing sensitive ...
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1answer
37 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 ...
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2answers
48 views

What kind of output should be used for predicting angles in DNNs?

I am building a model which predicts angles as output. What are the different kinds of outputs that can be used to predict angles? For example, output the angle in radians cyclic nature of the ...
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2answers
84 views

What is meant by gene, chromosome, population in genetic algorithm in terms of feature selection?

I am trying to understand the genetic algorithm in terms of feature selection and these features are extracted using a machine learning algorithm. Let's suppose I have data of heart rate for 3 minutes ...
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1answer
57 views

AI, Machine learning prediction algorithms which can predict maximum lifespan of Human being in future centuries [closed]

https://en.wikipedia.org/wiki/Maximum_life_span Are there AI, Machine learning prediction algorithms which can predict whether Human being can achieve maximum lifespan age say 150, 200 years in ...
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1answer
118 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 ...
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2answers
93 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 $63$. ...
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1answer
148 views

What is the best neural network architecture for this problem?

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 ...
3
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1answer
74 views

Is a basic neural network architecture better with small datasets?

I'm currently trying to predict 1 output value with 52 input values. The problem is that I only have around 100 rows of data that I can use. Will I get more accurate results when I use a small ...
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1answer
283 views

Building AI from chess - data shape from simulation

Problem My problem is the following: Given 1000 wins, losses, and ties from a chess simulation I am using, what shape should each game be (I.e., sequence of moves leading to win/loss/tie) in order to ...
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1answer
107 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 ...
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0answers
81 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 ...
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2answers
58 views

block of worlds with position aware goal stack planning

Can someone suggest an AI approach to moving blocks, one at a time, assuming control of an robotic arm, to get from the initial state on the left to the final state on right, preferably using goal ...
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1answer
212 views

Why is AI safety so much harder than Isaac Asimov's “Three Laws of Robotics”?

I understand that AI researchers are trying to create AI designs that allow for desired behavior without undesirable side-effects. A classic example of an attempt is Isaac Asimov's Three Laws of ...
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3answers
341 views

Which predictive algorithm can be used to predict a number given other numbers?

I am currently searching for a supervised learning algorithm that can be used to predict the output given a large enough training set. Here's a simple example. Suppose the training dataset is ...
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0answers
397 views

How can Viv generate new code based on some user's query?

I have been looking into Viv, an artificial intelligent agent in development. Here is a demonstration of Viv (by Dag Kittlaus). Based on what I understand, this AI can generate new code and execute it ...
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1answer
102 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 ...
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50 views

How to design my Neural Network for Game AI

For my school project, I have to develop an agent to play my game. The base I have is a 'GameManager' which call 2 AIs, each taking a random move to do. To make my AI perform, I decided to make a ...
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1answer
34 views

How can certain information about the goal be given to the RL learning algorithm?

Policy learning refers to mapping an agent state onto an action to maximize reward. A linear policy, such as the one used in the Augmented Random Search paper, refers to learning a linear mapping ...
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2answers
32 views

Get object's orientation or angle after object detection

I'm trying to get a detected car's orientation when object detection is applied. For instance, when we apply object detection on a car and get a bounding box, is there any ways or methods to calculate ...
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1answer
280 views

How can I encode states where the environment consists of multiple identical elements, but each is characterised by different features?

I am quite new to Deep Reinforcement Learning, and I'm trying to define states in a Reinforcement Learning problem. The environment consists of multiple identical elements, and each one of them is ...
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1answer
74 views

How can I determine whether a video's frame is realistic (was recorded by a camera) or contains computer-generated graphics?

Given a video, I'm trying to classify whether it is a graphical (computer-generated) or realistic scene. For instance, if it contains computer-generated graphics, credit, moving bugs, blue screen, etc....
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2answers
589 views

Why do we need both encoder and decoder in sequence to sequence prediction?

Why do we need both encoder and decoder in sequence to sequence prediction? We could just have a single RNN that, given input $x$, outputs some value $y(t)$ and hidden state $h(t)$. Next, given $h(t)$...
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27 views

How to find a parameter combination for a black box using AI?

I am working on a project where I encountered a component which takes 96 arguments (all integer values) and outputs 12 float values. I would like to find a useful combination of these 96 values to ...
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1answer
116 views

How can I design a hierarchy of agents each of which with different goals?

I read some light material earlier about the possibility of building a hierarchy of agents, where the agents at the leaves solve primitive tasks while higher-level agents are optimized for ...
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2answers
32 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 ...
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1answer
95 views

How to find the optimal pokemon team

Pokemon is a game where 2 players each select 6 Pokemon (a team) at the beginning of the game without knowing the other player's team. Every Pokemon has one or two types. Every type is either weak, ...
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1answer
61 views

How should I take into consideration the number of steps in the reward function?

I am currently implementing the paper Active Object Localization with Deep Reinforcement Learning in Python. While reading about the reward scheme I came across the following: Finally, the proposed ...
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1answer
42 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 ...
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1answer
858 views

What is the general procedure to create an AI system that can detect fire in images?

I have no experience with any kind of AI, but I really want to develop a system that can detect fire in images. I think I will need a labelled dataset with labels "fire" or "not fire&...
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38 views

How can I build a recommendation system that takes into account some constraints or the context?

I am building a recommendation system that recommends relevant articles to the user. I am doing this using simple similarity-based techniques (with the Jaccard similarity) using as features the page ...
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0answers
26 views

Confusion on Math Notation Definition

I attempt to understand the formulation of dictionary learning for this paper: Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution Multimodal Task-Driven ...
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2answers
64 views

How can I process neural network with 25000 input nodes?

I'm trying to build a neural network between protein sequence and its drug fingerprint. My input size is 20000. The output size is 881. The sample size is 610. Can I process this huge neural network? ...
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2answers
88 views

Two data classes for a convolutional neural network, can one have a LOT more images for training than the other?

I have two classes in the training set: one that has images with a feature and the other of images without that feature. Can there be a LOT more images with "no feature" so I can fit in all possible ...
7
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2answers
121 views

Given two neural networks that compute two functions $f(x)$ and $g(x)$, how can I create a neural network that computes $f(x)g(x)$?

I have two functions $f(x)$ and $g(x)$, and each of them can be computed with a neural network $\phi_f$ and $\phi_g$. My question is, how can I write a neural net for $f(x)g(x)$? So, for example, if $...
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1answer
35 views

Choosing an AI method to recreate a given binary 2D image

If the title wan not very clear, I want a method to take an input image like this, [[0, 0, 0, 0], [1, 1, 1, 0], [1, 1, 1, 0], [0, 1, 1, 0]] and output the 2D ...
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13 views

What is the current way robots can assess and traverse difficult obstacles in 3d space?

What is the current way robots can assess and traverse difficult obstacles in 3d space? I could see manual feature extraction using stereo vision (for example, the height of the obstacle, "...
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0answers
36 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 ...
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0answers
40 views

How can one be sure that a particular neural network architecture would work?

Traditionally, when working with tabular data, one can be sure(or at least know) that a model works because the included features could explain a target variable, say "Price of a ticket" ...
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0answers
40 views

Can text-independent writer identification be done without multi-sentence training datasets for each writer?

I am trying to learn more about text-independent writer identification and was hoping for some advice. I have a folder with 100k images, each of them with a different handwritten sentence. All of the ...
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0answers
43 views

How can I formulate a prediction problem (given labeled data) as an RL problem and solve it with Q-learning?

One of my friends sent me a problem he was working on lately, and I couldn't help but I wonder how could it be solved using Q-learning. The statement is as follows: Given the following datasets, the ...
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0answers
23 views

How to use Ocelot to run an AI script on the CPU which would normally use GPU?

So most of AI scripts that output something (GANs generating image files for example) use CUDA and thus require a GPU to run them. I have a 7 year old Nvidia GPU which does not support that and thus ...
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0answers
20 views

How to design a graph neural network to predict the forces in truss elements of a space frame?

I am trying to create a Graph NN that will be able to predict the forces in truss elements of a space frame. The input for the NN will be a graph, where the nodes represent the nodes of the spaceframe....
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1answer
2k 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 ...

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