Questions tagged [ai]

AI (Artificial Intelligence) is a branch of computer science concerned with creating human-like intelligence in machines (including perception, learning, problem solving and decision making).

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After a certain number of moves my tictactoe program raise an exception

I'm trying to build an AI to play tictactoe(cs50ai pset0). i have built 7 essential functions for this purpose. 1.player function that takes as an argument a board and returns whose turn is it. ...
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getting actual concepts value instead of its URI in ontology

I am using owl ontology for semantic analysis in emotional sentiment analysis project , I am trying to navigate the ontology to check a concepts and its relation , my ontology has classes like this : <...
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Using large files in a OVHcloud AI notebook

I’m trying to train an artificial intelligence model on OVHCloud AI Notebooks with the Common Voice’s dataset from Mozilla. The problem is that this database has a 70 GB size. I have tried to download ...
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2 votes
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skip gram vector representation

I am using SVM for sentiment analysis project , I want to use n-skip gram for vector representation because I need to keep the semantic meaning between words , so I need to make vectors that belongs ...
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how is grammatic evolution different from grammar-based genetic programming?

There are two closely related techniques in genetic programming. One of them is grammar based genetic programming (GBGP), which uses context free grammar to generate a derivative tree which represents ...
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How to learn machine learning in C?

I want to learn machine learning but I am more comfortable in C than python (also my pc is little slow), I tried to search but there are no tutorial or documentation for C. So, where can I start? Can ...
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Artificial Intelligence trends and topics

I was wondering if there are websites with which to stay constantly updated on the latest trends or topics on disruptive applications in artificial intelligence. I usually read scientific publications ...
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How to extract numerical information from text descriptions

I have an attribute that is the description of an operation (i.e description of a building consent), I need to translate this to a mathematical operation. I need to find out the new number of dwelling ...
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115 views

Soft actor-critic reinforcement learning for 100x100 maze environment

I am doing a project which requires a soft actor-critic reinforcement learning agent to learn how to reach a goal in a 100x100 maze environment as the one below: The state space is discrete and only ...
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More training data - Less Memory

I have a training dataset of images common images, there are more than 5K images in this dataset. But I have less memory in Google colab- RAM-12GB. I need to train all the images but due to less ...
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What AI predictions can be done using Temperature and Current features of electrical assets?

I have recently deployed hundreds of IoT based Temperature/Humidity and 3-phase Current sensors on electrical assets/machines(e.g. welding machine, integrated panel etc) in a warehouse and waiting for ...
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AI algorithm model that outputs a list of unknown length [closed]

I have a dataset with the following x columns: date time is_weekend is_holiday start_intersection end_intersection The output is a list of intersections, that connect start_intersection with ...
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Answering the question of "WHY" using AI?

We have seen lots of natural occurrences that are happening in the whole world. Since we have great progress in technology and in particular AI, How can I employ <...
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2 answers
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Convolutional Neural Network for Signal Modulation Classification

I recently posted another question and this question is the evolution of that one. By the way I will resume all the problem below, like if the previous question didn't ever exist. Problem description ...
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3 votes
1 answer
80 views

Convolutional neural network low performance

Problem description I'm doing Signal Modulation Classification using a Convolutional Neural Network, but performances are very low (around 15% accuracy) and I can't find out why. Data Dataset is ...
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Qaulity assurance framework for ML/AI

I'd like to hear how organisations are applying a quality framework to ML/AI work. I'm struggling to find good content or good practice on this. By saying quality frameworks, for example, if I was ...
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Did DeepBlue use machine learning?

Did IBM's DeepBlue, which defeated a human player in chess in 1997, use machine learning? I am a bit confused by this article that says that it is AI, but not ML. Whereas this article says it is AI ...
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what is convolutional implementation of sliding window in Faster RCNN? Also how RPN proposes region?

do we need to train this model on some standard dataset separately? and then use it? can we use pre trained model such as VGG etc for this? also How RPN is used to propose regions?? unlike ...
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Backpropagation on a CNN

I have tried searching for this, but it seems like no one addresses a key aspect of this problem (or maybe I'm overthinking this): So, first let's assume we have a 3x3 image with a single channel, and ...
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Machine learning algorithms for suggesting new baby names [closed]

https://www.lexalytics.com/lexablog/machine-learning-natural-language-processing https://towardsdatascience.com/named-entity-recognition-ner-meeting-industrys-requirement-by-applying-state-of-the-art-...
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2 votes
1 answer
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Machine Learning - Euclidian Distance Classifier exercise [closed]

I'm taking part in an elective subject at university which mainly focuses on the foundations of Machine Learning. Now we got our first exercise - this task should be done practically in any language (...
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I'm planning to record video now and then analyze it in the future once AI programs are more accurate, what resolution and FPS should I record at? [closed]

I'm going to record videos and want to future proof them for AI analysis as much as possible. I have a decent amount of storage to work with, 2.7TB. I'm hoping to make it last for at least two years. ...
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what does one Shot learning mean? do they only need one image to train for some new class detection?

Being new to deep learning I am somewhat struggling to grasp the idea of one shot learning. Let us say I have a class to detect which didn't exist in training dataset such as COCO or Image NET. Can I ...
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2 votes
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"Learning" algorithm to use when future depends on past events (MDP property not met)

There are around 5 different retirement plans available in my country. People can pick from them freely. I would like to create a solution that would try to predict the best plan(s) given a particular ...
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0 votes
1 answer
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Difference between $Q(s,a)$ ,$V^*(s)$ and $V^\pi(s)$ in Markov Decision Process?

I am new to RL and I am trying to understand how to find solutions of an MDP. This is what I understand so far -> since the nature of our environment is stochastic, at a state 's' if we take an ...
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1 answer
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Word2Vec: Identifying many-to-one relationships between words

Standard introductory examples in Word2Vec, like king - queen = man - woman and tokyo - japan = london - uk, involve one-to-one ...
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1 vote
1 answer
216 views

Need help with prolog program

I am new to prolog and need help on how to write a prolog program. Here is what i am trying to do. I have downloaded the dataset from this link - https://archive.ics.uci.edu/ml/datasets/Blood+...
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How to grade an interaction that a user had with a post with an AI based on big data?

Context I'm creating a social network. The thing is, I don't want to order posts by likes, or something like that, I'm using an AI (lightfm in ...
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1 vote
1 answer
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How many run should we implement on the machine learning model?

Theoretically, we can implement fix seed on the machine learning model to get the same results every run (reproducible)but it may leads to bias. So, in order to prevent bias, I gonna run the model ...
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0 votes
1 answer
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Emotion detection on audio

I'm trying to apply emotion detection on audio. Basically, given an audio file, it must generate emotional labels for a segment of any durations, say every 5s chunks, like happy, sad, angry, etc. Is ...
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-1 votes
1 answer
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Machine learning, speech recognition technologies for Sound of Animals interpretation [closed]

https://www.google.com/search?q=sound+of+animals&client=ms-android-lava&prmd=inv&sxsrf=ALeKk02xrn0-yn-FZSkidTogB4l4B_TH6A:1600539091086&source=lnms&tbm=isch&sa=X&ved=...
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3 votes
0 answers
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Could my AI classifier be extended to categorical data? [closed]

I created a new AI classifier. Physics Based Classifier
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2 answers
185 views

Stamps detection using AI, Computer vision & Machine Learning technologies

https://en.wikipedia.org/wiki/Postage_stamp https://www.google.com/search?q=stamps&client=ms-android-lava&prmd=isnv&sxsrf=ALeKk02Ik_sWwymBctdONPasm7w0YNXcZA:1599240889888&source=lnms&...
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2 votes
3 answers
267 views

Significance of Object-Oriented Programming (OOP) in Data Science [closed]

Can someone please explain to me the role of Object-Oriented Programming (OOP) and Object-Oriented Design (OOD) in Data Science? I am from a non-computer science background. Do I need to learn these ...
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2 votes
1 answer
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What is semantic gap? Why it exists in AI

The semantic gap characterizes the difference between two descriptions of an object by different linguistic representations, for instance languages or symbols. The semantic gap can be defined as "...
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0 votes
1 answer
39 views

Machine Learning algorithm for predicting number of cases in pandemic

I’m giving my first steps with AI and Machine Learning so I have the following issue. I’m trying to predict an outcome from COVID-19 number of day vs confirmed cases using scikit-learn library. I mean,...
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1 answer
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Will the job of Data Science is going to be at risk? [closed]

Data Science is the sexiest job of 21st Century according to the different sources with a high payment salary . But it seems that there will be over production of this profession . According to U.S. ...
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1 vote
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Why the validation accuracy does not increase in a normal way over the epochs?

I'm trying to transfer learning VGG16 model with imagenet in a dataset of retinal images but i'm confused to get a graph like this in the picture below, I don't know why the validation accuracy didn't ...
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1 vote
1 answer
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Call routing using AI

I'm trying to find out how AI can help with efficient customer service, in fact call routing to the right agent. My usecase is given context of a query from a customer and agents' expertise, how can ...
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2 votes
1 answer
126 views

How to generalize comments using NLP

I have list of log comments in CSV file. I want to cluster those log comments using K-Means and after that I want convert each cluster comments into general form. for eg. I have bunch of comments in ...
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3 votes
2 answers
65 views

How to generate a sentence with exactly N words?

Thanks to GPT2 pretrained model now it is possible to generate meaningful sequence of words with or without prefix. However a sentence should end with a proper endings (.,!,?). I am just wondering how ...
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1 vote
1 answer
156 views

Convolutional neural network giving high confidence on wrong classification

I am doing a project on sign language recognition through CNN. My Dataset 300 images for each alphabet and one special symbol for space. Images are taken from three individuals. Each image has hand ...
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1 vote
1 answer
761 views

Deep learning based Resume Parser and Scoring

I want to know if Deep learning can be used for Resume Parsing and scoring of the resume. Currently what I am doing is extracting the text from pdf or image using OCR/tesseract and finding the ...
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RESOURCE EXHAUSTED error with Kfold on a facial landmarks data

i am currently working with helen dataset to predict facial landmarks. Currently running the program on a Geforce 1070. The highest batch size i can give is 230 and i am getting a loss of 3 and ...
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3 votes
2 answers
1k views

What does scaling a gradient do?

In the MuZero paper pseudocode, they have the following line of code: hidden_state = tf.scale_gradient(hidden_state, 0.5) What does this do? Why is it there? I'...
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1 vote
3 answers
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Data science which is not part of AI?

I have understood that data science is part of AI. However, do we have some area in data science which we can say does not fall under AI? If yes, please name them.
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1 vote
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Rewards are converged but with a lot of variations

I am training a reinforcement learning agent on an episodic task of fixed episode length. I am tracking the training process by plotting the cumulative rewards over an episode. I am using tensorboard ...
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1 vote
1 answer
143 views

Having a reward structure which gives high positive rewards compared to the negative rewards

I am training an RL agent using PPO algorithm for a control problem. The objective of the agent is to maintain temperature in a room. It is an episodic task with episode length of 9 hrs and step size(...
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1 vote
1 answer
50 views

Formulation of a reward structure

I am new to reinforcement learning and experimenting with training of RL agents. I have a doubt about reward formulation, from a given state if a agent takes a good action i give a positive reward, ...
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2 answers
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Neural network is not giving the expected output after training in Python

My neural network is not giving the expected output after training in Python. Is there any error in the code? Is there any way to reduce the mean squared error (MSE)? I tried to train (Run the ...
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