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Is it possible to implement Asimov's Three Laws of Robotics?

Would it be possible to put Asimov's three Laws of Robotics into an AI? The three laws are: A robot (or, more accurately, an AI) cannot harm a human being, or through inaction allow a human being to be harmed1 A robot must listen to instructions…
Mithical
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What is the formula used to calculate the loss in the FaceNet model?

The FaceNet model returns the loss of the predictions and ground-truth classes. How is this loss calculated?
6
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Convergence of semi-gradient TD(0) with non-linear function approximation

I am looking for a result that shows the convergence of semi-gradient TD(0) algorithm with non-linear function approximation for on-policy prediction. Specifically, the update equation is given by (borrowing notation from Sutton and Barto…
6
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Are there well-established ways of mixing different inputs (e.g. image and numbers)?

I am interested in the possibility of having extra input along with the main data. For instance, a medical application that would rely mostly on an image: how could one also account for sex, age, etc.? It is certainly possible to put the output of…
6
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3 answers

How do autonomous robotic vacuum cleaners perceive the environment for navigation?

How does a domestic autonomous robotic vacuum cleaner - such as a Roomba - know when it's working cleaned area (aka virtual map), and how does it plan to travel to the areas which hasn't been explored yet? Does it use some kind of A* algorithm?
kenorb
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Is this idea to calculate the required number of hidden neurons for a single hidden layer neural network correct?

I have an idea to find the optimal number of hidden neurons required in a neural network, but I'm not sure how accurate it is. Assuming that it has only 1 hidden layer, it is a classification problem with 1 output node (so it's a binary…
w13rfed
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Which courses in computer science and logic are relevant to Machine Learning?

Although I have a decent background in math, I'm trying to understand which courses from CS and logic to look into. My aim is to get into a Machine Learning PhD program.
stranger
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"AI will kill us all! The machines will rise up!" - what is being done to dispel such myths?

Science Fiction has frequently shown AI to be a threat to the very existence of mankind. AI systems have often been the antagonists in many works of fiction, from 2001: A Space Odyssey through to The Terminator and beyond. The Media seems to buy…
Jimmery
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Do neurons of a neural network model a linear relationship?

I'm certain that this is a very naive question, but I am just beginning to look more deeply at neural networks, having only used decision tree approaches in the past. Also, my formal mathematics training is more than 30 years in the past, so please…
David Hoelzer
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How is the distance between pointers in Stochastic Universal Sampling determined?

I'm studying about different selection methods in genetic algorithms. My question is about the Stochastic Universal Sampling (SUS) selection method. I know that each individual will occupy a segment of the line according to its fitness value and…
helen
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Are there any results on how difficult certain languages are to learn for chatbots?

Has there any research been done on how difficult certain languages are to learn for chatbots? For example, CleverBot knows a bit of Dutch, German, Finnish and French, so there are clearly chatbots that speak other languages than English. (English…
wythagoras
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What are the real-life applications of transfer learning?

What are the real-life applications of transfer learning in machine learning? I am particularly interested in industrial applications of the concept.
Ali Usyd
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Can two admissable heuristics not dominate each other?

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 wondering this because I had to prove if each…
JRowan
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How can we conclude that an optimization algorithm is better than another one

When we test a new optimization algorithm, what the process that we need to do?For example, do we need to run the algorithm several times, and pick a best performance,i.e., in terms of accuracy, f1 score .etc, and do the same for an old optimization…
user29902
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Are there RL techniques to deal with incremental action spaces?

Let's say we have a problem that can be solved by some RL algorithms (DQN, for example, because we have discrete action space). At first, the action space is fixed (the number of actions is $n_1$), and we have already well trained an offline DQN…
user29643
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