Questions tagged [ai-design]

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

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1answer
26 views

Changing the batch, mini-batch and learning rate for a previously-trained model

If I'd previously trained a model and saved the whole training session (using TensorFlow tf.train.Saver.save()), and then later restored the session (using ...
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1answer
30 views

Edge AI device to run inference

I'm trying to figure out what's the best way to get a trained model that does facial detection to run on a camera that's connected to a computer and perform inference. Since I don't need the device ...
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3answers
160 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 ...
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0answers
19 views

Can an AI be created to work on itself independently without human assistance from the time it is created?

Can an AI be created to work on itself independently without human assistance from the time it is created? Can it access all the data it wants to from the internet as well as the dark web? Can it have ...
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1answer
27 views

How should I encode a categorical input?

Let's say you have an input which can take one of 10 different unique values. How would you encode it? Have input length 10 and one-hot encode it. Have 1 input but normalise the value between the ...
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1answer
71 views

How do I choose the number of neurons in the fully-connected layer before the softmax layer?

I am solving a classification problem with CNN. The number of classes is 5. How can I decide the number of neurons in the FC layer before the softmax layer? Is it $N * 5$, where $N$ is the number of ...
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0answers
94 views

What can be considered a deep recurrent neural network?

In the paper Deep Recurrent Q-Learning for Partially Observable MDPs, the DRQN is described as DQN with the first post-convolutional fully-connected layer replaced by a recurrent LSTM. I have DQN ...
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0answers
16 views

Has any research been done to solve word searches with AI?

A simple word search seems too simple to solve with a computer AI. But what I'm interested is how human's solve it. They build up strategies over the course of solving the puzzle. For example: 1) ...
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2answers
81 views

Creative AI semester project (4 week time-frame)

I am taking AI this semester and we have a semester project. We can choose just about anything. I was wondering if anyone has a creative idea that I might be able to do. Nothing that is so extensive ...
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20 views

Superhuman AI to disguise as human players

TL;DR below. You entered a online mini video game. It's a fast-paced hypercasual game. But it's a ranked one - top 10 get prizes. The leaderboard resets and prizes are handed out every couple of ...
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1answer
55 views

How could we solve the TSP using an hill-climbing approach?

How could we solve the TSP using an hill-climbing approach?
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1answer
97 views

Admissible and consistent heuristics

I am wondering about a problem that I was given to solve: Given circular trail divided by n segments(n>2) labeled 0..n-1. In the beginning an agent is at the start of segment number 0 (the edge ...
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101 views

Building AI as an Operating System

This is in continuation of my last question here. I am just starting to build an OS which will be based on AI or rather Synthetic Super Intelligence. I also wrote a paper on it for which I am working ...
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0answers
67 views

An idea I had to create the first Humanoid using Deep Learning

I've come up with an idea on how we could use a combination of Deep Learning and body sensors to create a walking talking living humanoid. Here goes: First, we will recruit 1 billion people and have ...
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1answer
32 views

How to design an ANN to give an answer that includes two different components?

As an experiment, I want to teach an ANN to play the game of Nim. The normal game is between two players and played with three heaps of any number of objects. The two players alternate taking any ...
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1answer
60 views

Is my Neural Network program fully connected?

I have the following program for my neural network: ...
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1answer
107 views

Sun loving social AI spider robot? [closed]

Platonic solids are regular, convex, and equilateral polyhedrons with congruent faces and a congruent number of edges meeting at the vertices. We can see them in toys; the six faces of the cube ...
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12 views

Any research that proposes ways to improve a semantic network from phonetic sequences?

Inputs: Time series of spectra representing human speech Semantic network (as a directed graph) associations Outputs: Modified version of the semantic network input Edge types in the graph (...
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0answers
37 views

Smielapp design feasible now?

Consider a SmielApp1, pronounced smile-app. It's a proposed app for Android, iOS, LINUX, and other phone, tablet, laptop, and desktop environments.2 The system requirements are a microphone, a speaker,...
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3answers
218 views

Design for a lovable and loving AI?

People often value their pets, livestock, plants, yachts, cars, and plants. Dogs are considered family members by many families. Cats that might contribute little more than a purr or a look are also. ...
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3answers
412 views

How to design an AI that discovers more complex concepts on its own?

How would I go about designing a (relatively) simple AI that discovers and invents random more complex concepts on its own? For example, say I had a robot car. It doesn't know it's a car. It has ...
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0answers
18 views

Genetic algorithm generation of fuzzy rules with artificial network adjustment of fuzzy probabilities

Are there any working AI system designs or theory to support a system where an artificial network is trained to to adjust fuzzy probabilities and modify the parameters of a genetic algorithm that ...
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1answer
35 views

Can Fuzzy Logic Control Self-tune as Other Learning Systems Do?

This inquiry appeared in the comments to one of the answers of this question, but is actulaly not related to emotional intelligence, so it is reproduced here as a separate question I thought (maybe ...
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1answer
118 views

Is learning possible without random thoughts and actions?

In my view intelligence begins once the thoughts/actions are logical rather than purely randomn based. The learning environments can be random but the logic seems to obey some elusive rules. There is ...
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2answers
138 views

Is “emotion” ever used in AI?

Is "emotion" ever used in AI? Psychologists have a lot to say about emotion and it's functional utility for survival - but I've never seen any AI research that uses something resembling "emotion" ...
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1answer
30 views

Artificial intelligence services at the edge

I am a strategy consultant, deeply interested in edge computing and distributed and decentralized systems. In performing some analysis on current edge offerings, I am curious as to how ML and AI ...
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0answers
17 views

Since there are different types of neurons in adjacent positions in the brain's arrays, should heterogeneous layers be developed?

Below is a taxonomy of neurons. Some of these types occur in different locations in the brain, but there are adjacent neurons of varying types with clearly functional type diversity in many parts of ...
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2answers
73 views

Where to start to develop an AI model which can learn from a book?

What are the steps involved to create an AI agent which can do the following can learn from text in digital format from a book Gain knowledge from the digital text input Can answer question from the ...
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1answer
41 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
73 views

Can I filter barking sounds on the television?

My dog goes bonkers every time the sound of a barking dog is heard on a television program. I never noticed this before but literally every movie or show with an outdoors setting eventually includes ...
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1answer
83 views

Predicting fate of different actors in upcoming Avengers 4

How would one go about predicting which characters (actors) are going to die in the next Avengers movie. To elaborate a bit, given all leaked scripts (fake or not), interviews of different actors and ...
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1answer
73 views

AI learning by demonstration for web navigation

I don't know what to search for, so I'll try to describe what I'm trying to do : I want an AI that learns by showing it how to navigate on the Internet. Let's say I want to save 50 images from a ...
7
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1answer
182 views

Paradigm shift in Machine Learning

In some tweets about NeurIPS 2018, this video from NVIDIA appeared. At around 0.37, she says: ... If you think about the current computations in our deep learning systems, they are all based on ...
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1answer
175 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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1answer
36 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
101 views

possible to train some model to recognize trash?

I want to build a semi autonomous robot/machine that will clean up trash in cities. For this to be possible it needs to recognize 'trash'. As trash can be all sorts of things (think ciggaret buts, ...
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0answers
37 views

Exploration rate decay and training in Q learning

I'm trying to replicate the results of the DeepMind's paper with Breakout included in OpenAI Gym. I wonder how much frames should I keep until I reach the fixed exploration rate. Actually it reaches ...
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1answer
33 views

Can I do oversampling by copying the same image multiple times? Will it effect my neural network accuracy?

I am working on an image data-set. As you may have guessed it is imbalanced data. I have 'Class A, 19,000 images' and 'Class B, 2,876 images'. So I did an undersampling by removing randomly from the ...
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1answer
338 views

DQN it's not working properly

I'm trying to build a DQN to replicate the DeepMind results. I'm doing with a simple DQN for the moment, but it isn't learning properly: after +5000 episodes, it couldn't get more than 9-10 points. ...
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1answer
235 views

DQN Breakout adding an extra negative reward to help training?

I'm trying to train a DQN, so I'm using OpenAI gym and Breakout (Breakout-v0). I have altered the reward supplied by the environment: If the episode is not completed fully, the agent gets a -10 ...
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4answers
158 views

Is the imagination of AI limited to our own imagination?

Is AI limited by the fact that it requires us to give it a task or goal to achieve? It has all the capability to get to that goal in ways we might not think of but it still only gets to a goal we can ...
5
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1answer
190 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
31 views

Can an artificial network create a rule from rule components?

If an antecedent in a rule involves $m$ two-state features and results in consequences from a set of $n$ possible ones, we have $2^{m+n}$ permutations, which are, in a sense, be categories. If ...
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4answers
193 views

What kind of algorithm can invent?

Set aside networks, image classification, gradients, and the strength of intelligence for a moment and consider the world before people lit fires. Fires were started periodically just as they are now,...
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1answer
60 views

Is the proposal that more power leads to more intelligence correct?

One of the somewhat subliminal and entirely unsubstantiated assumptions we hear is that more computing power will allow us to approximate human intelligence — that quantitative augmentation will ...
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1answer
55 views

Why is Information Filter called Information Filter?

We all know Information Filter is a dual representation of Kalman Filter. The main difference between Information Filter and Kalman Filter is the way the Gaussian belief is represented. In Kalman ...
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0answers
29 views

Recognition and Response Generalizations for Autonomous Vehicles or Not?

It is said that the number of possible sequences of game play in the game Go is greater than the number of atoms in the universe. Whether or not that is true, imagine the number of possible sequences ...
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1answer
1k views

How to combine input from different types of data sources?

I've to train a neural network using microphone data (wav files), accelerometer sensor data and light sensor data. Right now the approach I thought was to convert all data into images and combine ...
6
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1answer
93 views

Q-Learning the generic maze solution

After doing some exercices on Q-learning for maze solving, I wondered : my q-learning algorithms solve only ONE maze. The AI doesn't learn how to solve mazes, so how can I achieve it ? For instance ...
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0answers
144 views

How can a fully automated vacuum cleaner use and update room information?

Assistive Subsystems Consider an automated vacuum cleaner with the following subsystems under the command of an AI system to be designed. These subsystems limit the AI complexity to just intelligent ...