Questions tagged [reference-request]

Use when requesting examples of research or research papers, books, articles, blog posts or courses. For example, "Is there any published research about X?" or "What are good examples of Y in research?".

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5
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1answer
255 views

What are some resources for coding some artificial intelligence techniques in the context of games?

I know the most basic rudimentary theory on AI, and I want to delve into actual practical coding with AI and machine learning. I already know a decent bit of coding in C++ and I'm learning Python ...
3
votes
1answer
187 views

How can I use machine learning to predict properties (such as the area) of simple polygons?

Imagine a set of simple (non-self-intersecting) polygons given by the coordinate pairs of their vertices $[(x_1, y_1), (x_2, y_2), \dots,(x_n, y_n)]$. The polygons in the set have a different number ...
4
votes
1answer
72 views

Is there any literature on the design of dialogue systems for interviews and questionnaire administration?

For my master thesis I am working on a dialogue system that should be deployed in hospitals to administer simple questionnaires to patients. I already did literature research and I'm fine with what I ...
2
votes
1answer
57 views

Which humanoid robots have open-source software (or hardware)?

Apart from iCub, whose open-source software can be found at https://github.com/robotology/icub-main, what other humanoid robots have open-source and freely accessible software (or hardware)?
2
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1answer
1k views

What are some good alternatives to U-Net for biomedical image segmentation?

Soon I will be working on biomedical image segmentation (microscopy images). There will be a small amount of data (a few dozens at best). Is there a neural network, that can compete with U-Net, in ...
2
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1answer
81 views

Which work originally introduced gradient clipping?

The Deep Learning book mentions that it's been used for years but the oldest sources it mentions are from 2012: A simple type of solution has been in use by practitioners for many years: clipping ...
2
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0answers
23 views

Will structured knowledge bases continue to be used in question answering with the likes of BERT gaining popularity?

This may come across as an open and opinion-based question, I definitely want to hear expert opinions on the subject, but I am also looking for references to materials that I can read deeply. One of ...
4
votes
1answer
71 views

Are there examples of neural networks (used for control) implemented on a FPGA or on a neurochip?

Greetings to all respected colleagues! I want to consult on the use of FPGAs and neurochips. I plan to use it in my laboratory project for programming control systems on neural networks. In my work,...
2
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0answers
30 views

Boston Housing Current Best Model

I'm currently looking for a standard data-set to test some new regression models I've been developing on, and the "Boston Housing Prices" data-set seemed to stand out, since it's very standard. ...
4
votes
1answer
131 views

Is there any resource that describes in detail a naive example-based machine translation algorithm?

I'm looking to develop a machine translation tool for a constructed language. I think that the example-based approach is the most suitable because the said language is very regular and I can have a ...
1
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0answers
63 views

What AI technologies were used in earlier versions of StarCraft?

I remember back in the 2000s, it was, and still is possible to play against computers in StarCraft BroodWar. They were not as good as pro players, but still reasonably smart. What AI technologies ...
7
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1answer
85 views

Medical diagnosis systems based on artificial neural networks

Are there any medical diagnosis systems that are already used somewhere that are based on artificial neural networks?
54
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11answers
10k views

What are some well-known problems where neural networks don't do very well?

Background: It's well-known that neural networks offer great performance across a large number of tasks, and this is largely a consequence of their universal approximation capabilities. However, in ...
2
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1answer
142 views

What are recent AI software systems and research papers close to J. Pitrat's ideas?

J. Pitrat (born in 1934) was a French leading artificial intelligence scientist (the first to get a Ph.D. in France mentioning "artificial intelligence"). His blog is still online and of ...
5
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1answer
86 views

What AI applications exist to solve sustainability issues?

The Sustainable Development Goals of the United Nations describe a normative framework which states what future development until 2030 should strive for. On a more abstract level a basic definition ...
1
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0answers
15 views

Regional specialization in neural networks (especially for language processing)?

What is the status of the research on regional specialization of the artificial neural networks? Biology knows that such specialization exists in the brain and it is very important for the functioning ...
2
votes
1answer
51 views

How many ways are there to perform image segmentation?

I'm new in Artificial Intelligence and I want to do image segmentation. Searching I have found these ways Digital image processing (I have read it in this book: Digital Image Processing, 4th edition)...
1
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2answers
104 views

Is there an AI technology that can predict human behaviour?

Is there an AI technology out there or being developed that can predict human behaviour, given that we as humans are irrational decision-makers? I'm looking at this from an economic standpoint - the ...
2
votes
1answer
145 views

Which AGI systems have already been implemented and tested?

I wish to compile a (somewhat) comprehensive list of AGI systems that have actually been created and tested (to whatever degrees of success) instead of those that simply advertise they are going to '...
1
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0answers
19 views

Number of weights in historical to cutting edge deployment of deep networks [closed]

In cutting edge deployment of deep networks for different architectures (such as $CNN$, $QRNN$ etc) what is the historical trend of current limits of trainability possible computationally? By this I ...
2
votes
1answer
200 views

Which AI methods are most appropriate for login face recognition?

I want to make a face authentication application. I need to approve the face during the login based on whether the registered face and the login face match. Which are the possible appropriate AI ...
1
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0answers
27 views

Methods for automated insertion of emojis into text?

I want to build a deep learning algorithm that places emojis in a extended tracts of text. The intent is to choose emojis related to the meaning of the text. Where should I start? I've read that ...
1
vote
0answers
24 views

What are examples of models for traffic sign detection that can be easily implemented?

I'm working on a college project about traffic sign detection and I have to choose a paper to implement it, but I have basic knowledge of TensorFlow and I'm afraid of choosing a paper that I can't ...
2
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0answers
30 views

References on generalization theory and mathematical abstraction of ML concepts

I'd like to learn about generalization theory for machine learning algorithms. I'm looking for books and other references (in case books aren't available) that provide a gentle introduction to the ...
2
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1answer
53 views

What are some references that describe known filters (or kernels) and how we can create new ones?

I'm pursuing a master's degree in Artificial Intelligence. My final work is about Convolutional Neural Networks. I was looking for information about filters (or kernels) of the convolutional layers. I ...
1
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0answers
104 views

How to count pixels in a object mask which is segmented using Mask R-CNN?

I have segmented concrete cracks from concrete structure images using Mask R-CNN. Now I need to measure the length of the segmented masked crack. Will the pixel counting method work? Can anyone help?...
2
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2answers
196 views

Which neural network is appropriate for measuring object dimensions from stereo images?

I have stereo pairs (left, right) images of concrete cracks. I want to measure the length of the crack from those image pairs. Which neural network is appropriate for measuring object dimensions from ...
1
vote
1answer
70 views

Are there any good ways of simultaneously incorporating object detection with speech recognition?

Are there any good ways of simultaneously incorporating object detection with speech recognition? For example, if you want to identify whether an animal is a dog or cat, we can obviously use visual ...
1
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4answers
99 views

What are examples of books or papers on the details of convolutional neural networks?

I'm studying a master's degree and my final work is going to be about the convolutional neural network. I read a lot of books and I did Convolutional Network Standford's course, but I need more. Are ...
11
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1answer
315 views

What are the state-of-the-art results on the generalization ability of deep learning methods?

I've read a few classic papers on different architectures of deep CNNs used to solve varied image-related problems. I'm aware there's some paradox in how deep networks generalize well despite ...
2
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0answers
367 views

Is it possible to create a decompiler using AI?

I would like to decompile a compiled file to source code. Is it possible to use any AI technique to perform decompilation? Is there any research on this topic? If yes, can you briefly explain one of ...
2
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0answers
30 views

Is there a detailed description or implementation of an end-to-end speech recognition system?

I am currently trying to implement an end-to-end speech recognition system from scratch, that is, without using any of the existing frameworks (like TensorFlow, Keras, etc.). I am building my own ...
2
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2answers
84 views

AI with conflicting objectives?

A recent question on AI and acting recalled me to the idea that in drama, there are not only conflicting motives between agents (characters), but a character may themselves have objectives that are in ...
3
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1answer
98 views

Which books or papers clearly explain the relation between Ising models and deep neural networks?

I am looking for a book or paper which clearly explains the relationship between Ising models and deep neural networks. Can anyone provide any references?
2
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3answers
190 views

Who is working on explaining the knowledge encoded into machine learning models? [duplicate]

The thing about machine learning (ML) that worries me is that "knowledge" acquired in ML is hidden: we usually can't explain the criteria or methods used by the machine to provide an answer ...
5
votes
2answers
86 views

Which linear algebra book should I read to understand vectorized operations?

I am reading Goodfellow's book about neural networks, but I am stuck in the mathematical calculus of the back-propagation algorithm. I understood the principle, and some Youtube videos explaining this ...
2
votes
1answer
67 views

What are some books/paper that deal with fundamental and philosophical issues of ML and relate it to the global discourse of AIs?

In my experience, most of the time, when people talk about AI nowadays they mostly mean machine learning. Despite this, ML is usually seen as a mere technique to build high-performance software; ...
4
votes
2answers
125 views

What are the best algorithms for image segmentation tasks?

I recently started looking for networks that focus on image segmentation tasks related to biomedical applications. I could not miss the publication U-Net: Convolutional Networks for Biomedical Image ...
30
votes
7answers
7k views

What are examples of promising AI/ML techniques that are computationally intractable?

To produce tangible results in the field of AI/ML, one must take theoretical results under the lens of computational complexity. Indeed, minimax effectively solves any two-person "board game"...
0
votes
1answer
80 views

Emotional Speech Synthesis [closed]

We are a team of computer science our graduation project about EmotionalSpeech Synthesis. We've found valuable information like research papers and WaveNet, Tacotron. A website (https://www.voicery....
2
votes
1answer
131 views

In what ways can financial markets be hacked? [Algorithmic Trading]

There was a recent question on adversarial AI applications, which led me to start digging around. Here my interest is not general, but specific: What are the vulnerabilities of automated trading ...
25
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8answers
4k views

Is there any research on the development of attacks against artificial intelligence systems?

Is there any research on the development of attacks against artificial intelligence systems? For example, is there a way to generate a letter "A", which every human being in this world can recognize ...
3
votes
1answer
105 views

What are examples of thought experiments against or in favour of strong AI, apart from the Chinese room argument?

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 ...
1
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0answers
82 views

Are there any deep learning techniques to use the content of an image for another image?

Are there any machine learning or deep learning techniques to use the content of an image for another image? More specifically, suppose I take a photo of a notebook. I get the angle, lighting, and ...
1
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0answers
17 views

Looking for GAN paper with spiral image

I am looking for a GAN paper I have read a while ago, but unfortunately cannot find it again. I think it compared GANs and other methods (like CVAEs) w.r.t. how they handle multi-modal data, not sure ...
8
votes
1answer
121 views

How does Atlas from Boston Dynamics have human-like movement?

Discussing the video More Parkour Atlas, a friend asked how the robot's movement was so similar to the one from a real human and wondering how this is achieved? To my knowledge, this is not something ...
6
votes
1answer
110 views

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 $n_1$), ...
0
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1answer
44 views

How to calculate the false positives and negatives?

I have a huge amount of data and I want to calculate my false positive and false negative. Is there a software that can help me determine it?
3
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1answer
59 views

Reinforcement learning with hints or reference model

In Reinforcement Learning, when I train a model, it comes up with its own set of solutions. For example, if I am training a robot to walk, it will come up with its own walking gait, such as this Deep ...
1
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0answers
58 views

Reference request: one-hot encoding outperforming random orthogonal encoding

I experimented with a CNN operating on texts encoded as sequences of character vectors, where characters are encoded as one-hot vectors in one embedding and as random unit length pairwise orthogonal ...