All Questions

I'm studying about different selection methods in genetic algorithm. My question is about Stochastic Universal Sampling (SUS) selection method. I know that each individual will occupy a segment of the ...

I am recording the vibrations of an AC Motor (50Hz Europe) and I am trying to find out whether it is powered on or not. When I record these vibrations, I basically get the vibration values (-1 to +1) ...

I want to develop face recognition program using convolutional neural network. Can some one tell me steps to follow to do the same? I am new to deep learning. I want to develop it on windows using ...

The following figure is from the last page in YOLOv3 paper highlighting how mAP is unfair metric for evaluating Object Detectors: The figure shows two hypothetical Object Detector results which the ...

I'm quite a newbie when it comes to practically working with Deep Learning techniques, although I studied them quite a lot theoretically in the last months. However, now I'm facing my first practical ...

I want to train a model to be able to classify 16 number of digits in image, the numbers of digits are constants. So I create my dataset like these images (Print random 16 number with different font ...

From self-driving cars, it's a well known fact that the public doesn't like the technology. According to an article in the New York Times, the Waymo car was attacked many times by angry humans who don'...

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 ...

I am not getting exactly the difference between semantic networks and ontology. I do not find a proper article explaining about ontology in the semantic network. According to me, I think that the ...

From the doc, train_on_batch() will return a scalar representing the loss and the metric. I want to know whether the loss/metric is evaluated before the weight is ...

There is some disagreement on the age of the pyramids of egypt. How old are the pyramids

I would like to work on a project where I teach an NN to play N64 games. To my current understanding, I would need an emulator? I can do the Machine Learning side of it, im just unsure how I can ...

In the past, most reinforcement learning agents were developed to solve existing domains. At first, a game was given, for example the snake game, and after a bit of training, the neural network was ...

The Chinese Room argument against strong AI overlooks the fact that "the man in the room" is acting as a macro-scale "neurotransmitter" of the larger system in which he resides. It does not rule out ...

I am trying to use a network for classification. This network works very well on the author's example data, but doesn't work on new data. Currently, I am using the popular EEG Motor Movement/Imagery ...

Currently I have a setup where I'm determining the position of a transmitter using the RSSI of 4 receivers. Its a simple feed-forward network with some hidden layers, where the input is the RSSI ...

I read this German article and was wondering if there was any truth in it? Wie kann die KI das Casino-Erlebnis verbessern? (How can AI improve the casino experience?) Is this article accurate and ...

What a Turing test is, is widespread known among computer experts. It's some kind of game, which can be attended by a human or a computer program. If a computer program is able to pass the game, the ...

I'm new to tensorflow and I am working through the Titanic tutorial of Tensorflow 2.0. In this tutorial at some point they create a dataset by applying ...

I am using the SpaceInvaders-ram-v0 from OpenAI gym. I want to extract the game's current score using the RAM values. How do I get it? I tried doing some research ...

In the TRPO paper, the objective to maximize is (equation 14) $$ \mathbb{E}_{s\sim\rho_{\theta_\text{old}},a\sim q}\left[\frac{\pi_\theta(a|s)}{q(a|s)} Q_{\theta_\text{old}}(s,a) \right] $$ which ...

Is it possible for A.I to redraw an image in a new context? More specifically, suppose I take a photo of a notebook. I get the angle, lighting and perspective perfect. Now I copy an image I found ...

Artificial Intelligence is often utilized to increase the productivity. A typical example is a pick&place robot arm who helps a company to reduce the costs. The idea is, that the robotarm works ...

Are there any algorithms to use reinforcement learning to learn optimal policies in partially observable Markov decision process (POMDP) i.e. when the state is not perfectly observed. More ...

Recently, according to some reports Google achieved something called 'Quantum Supremacy'. Whether its true or not remains to be seen. But my question is does Quantum Computers or the principle they ...

Why is awareness of itself such a point when speaking about AI? Does it always mean a starting point for apocalyptic nightmares to occur when such a level is reached or is it just a classical example ...

Are there datasets to solve differential equations in a supervised fashion? More precisely, the input is a differential equation and the label should be the general solution to that differential ...

As I understand Resnet has some identity mapping layers that their task is to create the output as the same as the input of the layer. the resnet solved the problem of accuracy degrading. But what is ...

It would make sense to make the decoder predict a smaller embedding vector instead of softmax over a large dictionary. The word having the most cosine similarity with the output embedding could be ...

I have a few financial variables of a stock universe like OHLC prices, volume, and other fundamentals with varying time-frequency. Using this set I'm creating an expression that gives the weights to ...

I'm trying to learn how a genetic algorithm can solve optimization problems. I have already learned how a genetic algorithm can solve knapsack, TSP and set cover problems. I'm looking for some other ...

What are the real-life applications of Transfer Learning in Machine Learning? I am particularly interested in industrial applications of the concept.

As a human being, we can think infinity. In principle, if we have enough resources (time etc.), we can count infinitely many things (including abstract, like numbers, or real). For example, at least, ...

A little background... I’ve been on-and-off learning about data science for around a year or so, however, I started thinking about artificial intelligence a few years ago. I have a cursory ...

H2O's Sparkling Water provides the ability to combine H2O's machine learning algorithms with Spark. As far as I understand support is for version 3 of H2O. I want to build a cluster of computers ...

According to the definition, the AI agent has to play a game by it's own. A typical domain is the blocksworld problem. The AI determines which action the robot in a game should execute and a possible ...

I have already a few projects in deep learning under my belt. However, there is one fundamental thing that has come to my mind recently while trying to implement my own architecture. Looking at the ...

Here's a simple image classifier implemented in TensorFlow Keras (right click to open in new tab): https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/quickstart/...

There are the 3 Asimov’s laws: A robot may not injure a human being or, through inaction, allow a human being to come to harm. A robot must obey orders given to it by human beings, except where such ...

Should awareness of the existence of the AI designer be embedded in the AI consciousness itself?

I initialised an LSTM with Xavier initialisation, although I've found this occurs for all initialisations I have tested. When initialised, if the LSTM is tested with a random input, it will get stuck ...

It was noted today that automated text generation is advancing at a rapid pace, potentially accelerating. As bots become more and more capable of passing turing tests, especially in single iterations,...

As far as I can tell (correct me if I'm wrong), Alphazero (with MCTS and neural network heuristic function RL) is the state of the art training method for turn based, deterministic, perfect ...

A stationary policy is a function that maps a state to a probability distribution of actions. In a contextual bandit problem, a state itself does not include the history. But in a reinforcement ...

Is it possible to update the weights of a vanilla transformer model using counterexamples alongside examples? For example, from the PAWS data set, given the phrases "Although interchangeable, the ...

I am learning how to use tensorflow without keras, just to make sure I understand tensorflow directly. I created a spiral-looking datasets with 100 points of each class (200 total), and I created a ...

I am using Mask-RCNN neural network. I retrained my network to detect and mask wheels of die-cast toy cars. I am using images, which present the side of the car (left or right). Sometimes the cars ...

I currently use an object detector to detect an object and specific parts of it (a crop and its stem). Such detector is not the best choice for detecting parts that could be represented by a point (...

I am a beginner in Python. I want to calculate the covariance matrix of a mini-batch in a given hidden layer.

I am working on a project for my artificial intelligence class. I was wondering if I have 2 admissible heuristics, A and B, is it possible that A does not dominate B and B does not dominate A? I am ...