Questions tagged [research]

For questions related to in-depth study or academic research. Do NOT use this tag when you are trying to find something out.

29 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
4 votes
0 answers
230 views

Multi Agent Sokoban Search Solvers state of the art

I also asked this question here but I'm repeating it on this SE because I feel it is more relevant. No intention to spam. I am researching into coding a solver for a variant of the Sokoban game with ...
Panos Filianos's user avatar
3 votes
0 answers
86 views

What is the reverse of passing a Turing test by a human pretending to be a robot that can't be identified?

A Turing Test is a method of inquiry for determining whether or not a computer is capable of thinking like a human being. In an ideal Turing test, it would be clear to differentiate between a real ...
Michael Lai's user avatar
3 votes
0 answers
124 views

Is there research about teaching AI to "analyze the problem and design a solution"?

Update on 2019-05-19: My question is about teaching AI to solve the problem, not letting AI teach a human developer to solve a problem. Original post: I'm a software developer but very new to AI. ...
yaobin's user avatar
  • 131
3 votes
0 answers
157 views

Train, Validation and Test Split for Reporting Accuracy of Neural Model and BOW

I need to report the accuracies of my neural model in a conference paper as compared to various baselines. What are the accepted standards for reporting accuracies in a fair manner? Neural Model: To ...
Ni9elF's user avatar
  • 39
2 votes
0 answers
43 views

How much research, approximately, is done in ANNs?

Does someone know where can I find information about how much research, nowadays, is done in ANNs? I've checked in this document Redes Neuronales: Conceptos básicos y aplicaciones, Universidad ...
Verónica Rmz.'s user avatar
2 votes
0 answers
144 views

Did the Hutter Prize help research in artificial intelligence in any way?

Wikipedia states: The Hutter Prize is a cash prize funded by Marcus Hutter which rewards data compression improvements on a specific 1 GB English text file. The goal of the Hutter Prize is to ...
Franck Dernoncourt's user avatar
2 votes
0 answers
721 views

Ways to keep up with the latest developments in Machine Learning and AI?

With over 100 papers published in the area of artificial intelligence, machine learning and their subfields every day (source), accounting for ~3% of all publications world wide per year (source) and ...
Tinu's user avatar
  • 628
2 votes
0 answers
47 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 ...
Shirish Kulhari's user avatar
2 votes
0 answers
32 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 ...
Jaswin's user avatar
  • 121
2 votes
0 answers
108 views

How would a quantum computer potentially facilitate artificial consciousness, assuming it is possible?

How would a quantum computer potentially facilitate artificial consciousness, assuming it is possible?
Juan's user avatar
  • 31
1 vote
0 answers
438 views

Training/Fine Tuning LLaVa

We wanted to fine-tune LLaVa model on some custom set of images. I wanted to know the Dataset format required for training and then finetuning.
Anonymous Atom's user avatar
1 vote
0 answers
98 views

Which topics about/in OpenCog could be researched in a Ph.D. thesis

In this interview with Lex Fridman and Ben Goertzel, at 2:23:48, Lex asks about possibilities for young people in the domain of AGI research. Ben Goertzel then answers that there are various ...
user's user avatar
  • 145
1 vote
0 answers
32 views

Is the framework provided by this paper for checking the constraints of AI systems really new?

The authors of this paper present a framework for checking the constraints of AI systems using formal argumentative logic between 2 agents: an interrogating agent and a suspect agent. The ...
Moonper's user avatar
  • 11
1 vote
0 answers
155 views

Can any area of math come into play in Machine Learning Research?

As I read online following areas in mathematics come into play in ML research Linear Algebra Calculus Differential Equations Probability Statistics Discrete Mathematics Optimization Analytic Geometry ...
user158's user avatar
  • 111
1 vote
0 answers
103 views

How differentiable programming and programming language supporting it will potentially help the development towards AGI?

After the state of the art Deep Learning techniques/algorithms being implemented in low-level languages like Objective-C, C++, etc to high-level languages like Python, JS, etc. and with the help of ...
Arpit-Gole's user avatar
1 vote
0 answers
219 views

Creating 4k HDR video from 720p footage

So, my company recently bought a big 4k HDR TV for our reception, where we keep showing some videos that were originally shot/created at 720p resolution. Before this, we had a relatively small HD TV, ...
Mefitico's user avatar
  • 111
1 vote
0 answers
34 views

Has there been any work done on AI-driven operant conditioning?

For example, a RL algorithm that gains points when a rat presses a lever and loses points when it dispenses a pellet, water, treat, and/or sugar water. After a few days of controlling the rewards ...
Mujtaba Alam's user avatar
1 vote
0 answers
49 views

Is there data available about successful neural network architectures?

I am curious to if there is data available for MLP architectures in use today, their initial architecture, the steps that were taken to improve the architecture to an acceptable state and what the ...
SandMan's user avatar
  • 253
0 votes
0 answers
13 views

Are There Scientific Papers on Methods for Robustifying LLMs and Current Challenges They Face?

I'm currently researching Large Language Models (LLMs) and am particularly interested in the recent advancements and challenges in this field. My focus is on understanding the methods being developed ...
Iman Mohammadi's user avatar
0 votes
0 answers
14 views

Support Vector Machine used in Image Classification

I am looking for a reference preferably a paper that details how Support Vector Machines (SVMs), and OpenCV were used to perform image classification before Convultional Neural Networks (CNNs). I am ...
Jose M Serra's user avatar
0 votes
0 answers
22 views

Offline CartPole on infinitely long line?

I am tentatively exploring some RL research that involves doing offline RL on a version of the Gymnasium CartPole where the cart can move on $\mathbb R$, as opposed to the standard version (see link) ...
Novice's user avatar
  • 121
0 votes
0 answers
4 views

What types of econometrics model is necessary for the tittles: determinants of farmers preference of species for smallholder homegarden agroforestry

What types of econometrics model is required for the tittle; determinants of farmers preferences of species in smallholder homegarden agroforestry
abdela mohammed's user avatar
0 votes
0 answers
24 views

which journals accept an original idea on AI based face recognition tool as a conceptual paper

I have an original idea/concept for a new face recognition AI based tool. I do not want to patent it but wish to publish it as a conceptual paper, that is to share the original concept. which journals ...
Bhumika Patankar's user avatar
0 votes
0 answers
17 views

Change in the Structure of Deep Associative Networks since their Inception

I am trying to understand how far associative networks have evolved from the Hopfield network. A lot of the research is only available to institutions which is why I deferred to this stack exchange. ...
DragonflyRobotics's user avatar
0 votes
0 answers
120 views

Computational overhead of "SCALING FORWARD GRADIENT WITH LOCAL LOSSES"

The paper "SCALING FORWARD GRADIENT WITH LOCAL LOSSES" discusses a new way of training deep neural networks called forward gradient learning. This method is different from the traditional ...
caesar's user avatar
  • 101
0 votes
0 answers
29 views

How to find AI research papers where authors provide source codes that will reproduce the experiments described in the paper?

It is important for a research paper to include raw data and code for scientific replicability, verifiability, and falsifiability. However, as noted by nbro, roughly 5% percent of papers have code ...
High GPA's user avatar
  • 163
0 votes
0 answers
31 views

Non-locally Electrically Programmable Logic Gates - Technological Advances Progress

Preface: I’d like to clarify that I understand what a relay is and that a PLC uses a fairly conventional microprocessor that only digitally establishes logical logic gate configuration as a digitally ...
Anony Mous's user avatar
0 votes
0 answers
35 views

Do deep learning researchers generally visualize intermediate steps?

Many researchers in deep learning research come up with new CNN architectures. The architectures are (just) combinations of a few existing layers. Along with their mathematical intuition, in general, ...
hanugm's user avatar
  • 3,802
0 votes
0 answers
41 views

Is it a good idea to train a neural network to classify images without base-hypothesis?

I'm a relative beginner in deep learning (understand by that, I'm doing my first Kaggle competition right now, and I have loads to learn still) and I was just wondering something. Let's say you have ...
H. Vilbert's user avatar