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3
votes
1answer
388 views

Can I develop a chatbot to carry on a natural conversation with a human using NLP and neural networks?

I would like to develop a chatbot that is able to pass the Turing test, i.e. a chatbot that is able to carry on a natural conversation with a human. Can natural language processing (NLP) be used to ...
3
votes
2answers
70 views

How can I minimize the number of answers that are relevant to a machine learning model?

Problem: We have a fairly big database that is built up by our own users. The way this data is entered is by asking the users 30ish questions that all have around 12 answers (x, a, A, B, C, ..., H). ...
8
votes
2answers
580 views

Are there dynamic neural networks?

Are there neural networks that can decide to add/delete neurons (or change the neuron models/activation functions or change the assigned meaning for neurons), links or even complete layers during ...
4
votes
1answer
35 views

How to design a classifier while the patterns of positive data are changing rapidly?

In some situation, like risk detection and spam detection. The pattern of Good User is stable, while the patterns of Attackers are changing rapidly. How can I make a model for that? Or which ...
5
votes
2answers
226 views

How can a reinforcement learning agent generalize if it is trained against only one opponent?

I started teaching myself about reinforcement learning a week ago and I have this confusion about the learning experience. Let's say we have the game Go. And we have an agent that we want to be able ...
2
votes
3answers
406 views

Can genetic algorithms be used to learn to play multiple games of the same type?

Is it possible for a genetic algorithm + Neural Network that is used to learn to play one game such as a platform game able to be applied to another different game of the same genre. So for example, ...
3
votes
1answer
62 views

Should I use Monte Carlo or a classifier for this Decision Making problem?

I want to build a model to support decision making for loan insurance proposal. There are three actors in the problem: a bank, a loaner applicant (someone who ask for a loan) and a counselor. The ...
1
vote
1answer
414 views

What is the physics engine used by DeepMimic?

I found a video for the paper DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills on YouTube. I looked in the related paper, but could not find details of how to ...
1
vote
0answers
45 views

How does the degree of neuronal realism affect computing in a deep learning scenario?

Neurons can be simulated using different models that vary in the degree of biophysical realism. When designing an artificial neuronal network, I am interested in the consequences of choosing a degree ...
1
vote
0answers
43 views

Doubt regarding research paper on Crowd Counting using Convolutional neural networks and Markov Random Field

I am currently reading the research paper Image Crowd Counting Using Convolutional Neural Network and Markov Random Field by Kang Han, Wanggen Wan, Haiyan Yao, and Li Hou. I did not understand the ...
3
votes
2answers
176 views

Can I reduce the “number of weights” in CNN to 1/3 by restricting the input as greyscale image?

In a CNN, does each new filter have different weights for each input channel, or are the same weights of each filter used across input channels? This question helps me a lot. Let, I have RGB input ...
1
vote
1answer
85 views

How can AI be used to more reliably analyze and plan around the tie between climate and emissions?

Note to the Duplicate Police This question is not a duplicate of the Q&A thread referenced in the close request. The only text even remotely related in that other thread is the brief mention of ...
4
votes
2answers
458 views

What part of the game is the value network trained to predict a winner on?

The Alpha Zero (as well as AlphaGo Zero) papers say they trained the value head of the network by "minimizing the error between the predicted winner and the game winner" throughout its many self-play ...
3
votes
2answers
349 views

Snake game: snake converges to going in the same direction every time

This is a q-learning snake using a neural network as a q function aproximator and I'm losing my mind here the current model it's worst than the initial one. The current model uses a 32x32x32 ...
7
votes
2answers
3k views

Can neuro-evolution of augmenting topologies (NEAT) neural networks be built in TensorFlow? [closed]

I am making a machine learning program for time series data analysis and using NEAT could help the work. I started to learn TensorFlow not long ago but it seems that the computational graphs in ...
0
votes
1answer
79 views

Should Q values be changing within an epoch/episode or should they change after one episode/epoch?

I am trying to use Deep-Q learning environment to learn Super Mario Bros. The implementation is on Github. I have a neural network that Q values update within an episode for a very small learning ...
5
votes
9answers
1k views

Does AI rely on determinism?

I don’t believe in free will, but most people do. Although I’m not sure how an act of free will could even be described (let alone replicated), is libertarian freewill something that is considered for ...
2
votes
1answer
154 views

Historical weakness of GOFAI in relation to partisan combinatorial games?

I was recently perusing the paper Some Studies in Machine Learning Using the Game of Checkers II--Recent Progress (A.L. Samuel, 1967), which is interesting historically. I was looking at this figure, ...
6
votes
1answer
1k views

Learning Rate Decay and Exploration Rate Decay

Should I be decaying the learning rate and the exploration rate in the same manner? What's too slow and too fast of an exploration and learning rate decay? Or is it specific from model to model?
2
votes
1answer
74 views

Clarification regarding “Image Crowd Counting Using Convolutional Neural Network and Markov Random Field”

I am currently reading the research paper Image Crowd Counting Using Convolutional Neural Network and Markov Random Field by Kang Han, Wanggen Wan, Haiyan Yao, and Li Hou. I did not understand the ...
6
votes
3answers
200 views

Would AlphaGo Zero become perfect with enough training time?

Would AlphaGo Zero become theoretically perfect with enough training time? If not, what would be the limiting factor? (By perfect, I mean it always wins the game if possible, even against another ...
2
votes
1answer
245 views

How to implement an artificial network that outputs an integer within a range?

The goal is to implement an artificial network that, based on training samples labelled with positive integers, outputs a positive integer. Perhaps I am not searching for the correct thing but all ...
3
votes
2answers
96 views

What method and tools should I use for AI that suggests/assigns a person for a task?

I'm trying to learn AI and thinking to apply it to our system. We have an application for Translation industry. What we are doing now is the Coordinator assigns a ...
1
vote
1answer
53 views

How to connect AI neural network processor to laptop?

I have an average laptop. How can I connect specialized AI neural network processors (say, Intel Nvidia or Intel Nervana https://venturebeat.com/2018/05/23/intel-unveils-nervana-neural-net-l-1000-...
1
vote
1answer
147 views

Occupation detection using Face API [closed]

For my university project, I am planning to build a face recognition/ occupation recognition programme. However, rather than using the existing Haar cascade(for age and gender) I am planning to use ...
2
votes
1answer
88 views

How to build a commercial image captioning system?

Image Captioning is a hot research topic in the AI community. There are considerable image captioning models for research usage such as NIC, Neural Talk 2 etc. But can these research models be used ...
8
votes
3answers
155 views

Is there research that employs realistic models of neurons?

Is there research that employs realistic models of neurons? Usually, the model of a neuron for a neural network is quite simple as opposed to the realistic neuron, which involves hundreds of proteins ...
9
votes
2answers
677 views

Why is baseline conditional on state at some timestep unbiased?

In robotics, the reinforcement learning technique is used for finding the control pattern for a robot. Unfortunately, most policy gradient method are statistically biased which could bring the robot ...
7
votes
1answer
200 views

Is Experience Replay like dreaming?

Drawing parallels between Machine Learning techniques and a human brain is a dangerous operation. When it is done successfully, it can be a powerful tool for vulgarisation, but when it is done with no ...
3
votes
2answers
354 views

How to use a Generative Adversarial Network to generate images for developmental analysis?

I want to generate images of childrens' drawings consistent with the developmental state of children of a given age. The training data set will include drawings made by real children in a school ...
2
votes
0answers
29 views

VIsual/musical/multimedia discourse (analysis) - are there such notions?

Formal semantics of natural language perceives sentences as logical expressions. Full paragraphs and even stories of natural language texts are researched and formalized using discourse analysis (...
4
votes
1answer
476 views

Algorithms for games with very high branching factors (Connect6)

Connect6 is an example of a game with a very high branching factor. It is about 45 thousand, dwarfing even the impressive Go. What algorithms can you use on games with such high branching factors? I ...
4
votes
1answer
470 views

How to parse conjunctions in natural language processing?

Is there an accepted way in NLP to parse conjunctions (and/or) in a sentence? By following the example below, how would I parse I drink orange juice if its the weekend or if it's late and I'm ...
4
votes
2answers
100 views

What are applications of object/human tracking in autonomous cars?

Objects tracking is finding the trajectory of each object in consecutive frames. Human tracking is a subset of object tracking which just considers humans. I've seen many papers that divide tracking ...
5
votes
1answer
746 views

Which nodes are expanded in the expansion phase of MCTS?

I'm confused regarding a specific detail of MCTS. To illustrate my question, let's take the simple example of tic-tac-toe. After the selection phase, when a leaf node is reached, the tree is expanded ...
10
votes
3answers
451 views

Is the singularity something to be taken seriously?

The term Singularity is often used in mainstream media for describing visionary technology. It was introduced by Ray Kurzweil in a popular book The Singularity Is Near: When Humans Transcend Biology (...
3
votes
1answer
126 views

Does depth-first search always stop when it has found the leftmost solution?

I'm a fresh learner of AI. I was told that depth-first search is not an optimal searching algorithm since "it finds the 'leftmost' solution, regardless of depth or cost". Therefore, does it mean that ...
2
votes
2answers
515 views

How to architect a network to find bounding boxes in simple images

I have an application where I want to find the locations of objects on a simple, relatively constant background (fixed camera angle, etc). For investigative purposes I've created a test dataset which ...
11
votes
2answers
3k views

Which layer in a CNN consumes more training time: convolution layers or fully connected layers?

In a convolutional neural network, which layer consumes more training time: convolution layers or fully connected layers? We can take AlexNet architecture to understand this. I want to see the time ...
5
votes
1answer
172 views

What does “hard for AI” look like?

In theoretical computer science, there is a massive categorization of the difficulty of various computational problems in terms of their asymptotic worst-time computational complexity. There doesn't ...
2
votes
1answer
145 views

How can we compare the intelligence of AI systems?

One way of ranking human intelligence is based on IQ tests. But how can we compare the intelligence of AI systems? For example, is there a test that tells me that a spam filter system is more ...
4
votes
2answers
511 views

Why is the derivative 0 if the policy is deterministic?

In the Berkeley RL class they mention the gradient would be 0 if the policy is deterministic. Why is that? https://www.youtube.com/watch?v=XGmd3wcyDg8&feature=youtu.be&t=1071
0
votes
3answers
95 views

Is there a way of pre-determining whether a CNN model will perform better than another?

I developed a CNN for image analysis. I've around 100K labeled images. I'm getting a accuracy around 85% and a validation accuracy around 82%, so it looks like the model generalize better than ...
2
votes
1answer
2k views

Counting people in an image of a crowd

What are some good approaches that I can use to count the no. of people in a crowd. Tracking each person individually is obviously not an option. Any good approaches or some references to research ...
21
votes
7answers
2k views

What is artificial intelligence?

What is the definition of artificial intelligence?
2
votes
0answers
294 views

How many episodes does it take for a vanilla one-step actor-critic agent to master the OpenAI BipedalWalker-v2 problem?

I'm trying to solve the OpenAI BipedalWalker-v2 by using a one-step actor-critic agent. I'm implementing the solution using python and tensorflow. I'm following this pseudo-code taken from the book ...
4
votes
2answers
226 views

Why does Clipped Surrogate Objective works in Proximal Policy Optimization

In ''Proximal Policy Optimization Algorithms'' , Schulman et al. (2017), page 3 I don't understand why the clipped surrogate objective works. As written in the article : "With this scheme, we only ...
1
vote
2answers
125 views

Is it necessary to know the details behind the AI algorithms and models?

I am interested in the field of artificial intelligence. I began by learning the various machine learning algorithms. The maths behind some were quite hard. For example, back-propagation in ...
2
votes
2answers
110 views

Integration of Sentiment analysis in CRM

What is the process for integrating sentiment analysis in a CRM? What I am searching for is a system which analyzes the customer comments or reviews using the CRM and finds out the customer sentiment ...
3
votes
2answers
147 views

Is a binary attribute type the same as binomial attribute type?

I am not sure if I can use the words binomial and binary and boolean as synonyms to describe a data attribute of a data set which has two values (yes or no). Are there any differences in the meaning ...

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