Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [real-time]

16 questions
9
votes
2 answers

Reinforcement Learning with asynchronous feedback

I want suggestions on literature on Reinforcement Learning algorithms that perform well with asynchronous feedback from the environment. What I mean by asynchronous feedback is, when an agent performs an action it gets feedback(reward or regret)…
papabiceps
  • 191
  • 6
6
votes
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
  • 10,423
  • 3
  • 43
  • 91
5
votes
2 answers

What type of neural network would be most feasible for playing a realtime game?

For implementing a neural network algorithm that can play air hockey, I had two ideas for input, and I'm trying to figure out which design would be most viable. The output must be two analog values that dictate the best position on half of the table…
Patrick Roberts
  • 153
  • 5
3
votes
1 answer

Different useful approaches of implementing real-time AI?

I identify myself as a human agent. It is time to think about oncoming senior research and due to small experience in gamedev(as well as in AI field), some questions are raised. What are the most suitable approaches to implement real-time simple AI…
null
  • 39
  • 4
2
votes
1 answer

Is reinforcement learning suited for real-time systems?

From what I have seen, any results involving RL almost always take a massive number of simulations to reach a remotely good policy. Will any form of RL be viable for real-time systems?
FourierFlux
  • 783
  • 1
  • 4
  • 14
2
votes
0 answers

Searching for powerfull AI modules to improve teef gloves

I have seen the teef glove ofNavid Azodi and Thomas Pryor, like this : and also seen this post which has been said about this kind of work problem : Their six-page letter, which Padden passed along to the dean, points out how…
Soheil Paper
  • 1
  • 3
2
votes
1 answer

Can ConvNets be used for real-time object recognition from video feed?

Convolutional neural network are leading type of feed-forward artificial neural network for image recognition. Can they be used for real-time image recognition for videos (frame by frame), or it takes too much processing (assuming they're written in…
kenorb
  • 10,423
  • 3
  • 43
  • 91
1
vote
3 answers

To what extent can artificially intelligent agents reliably predict trends in financial markets?

I've gotten curious about this topic and am wondering what the stack exchange community has to say about it. Also, does anyone know of any professors/researchers who have published papers pertaining to this?
user10101
  • 21
  • 1
1
vote
0 answers

Which neural network/ML framework to use for a partial amount of a fixed-time amount of sensor data?

Assume I've run a set of initial experiments. For each experiment, I have a set of input signals $I_e(i, t)$, and output signals $O_e(j, t)$ for $i \approx 10$, $j \approx 10$, and $0\leq t\leq t_{max}=7200$ for half-second timesteps. This gets me a…
Benjamin Cecchetto
  • 11
  • 3
1
vote
0 answers

Training with extremely imbalanced Dataset

I have a object detection problem which has extremely imbalanced dataset. Lets say there is only one class to detect, say apple or not apple. This detection network will be used in a real case including IP camera streaming where positive/negative…
Uce
  • 11
  • 2
1
vote
1 answer

Where to start with reinforced learning on actions and rewards sampled from slow ongoing real life system

I would like some pointers, possible projects that solve conceptually similar goals, code examples or tutorials. I am trying to achieve a system that is able to start or stop ventilation of a given space based different outside and inside metrics…
sanyi
  • 111
  • 3
1
vote
0 answers

How do I set up rewards to account for unmanned aerial vehicle crashes?

I am working on a project to implement a collision avoidance algorithm on a real unmanned aerial vehicle (UAV). I'm interested in understanding the process to set up a negative reward to account for scenarios wherein there is a UAV crash. This can…
desert_ranger
  • 586
  • 3
  • 19
0
votes
1 answer

CNN how to measure the amount of FPS that can be processed?

This is my first question in the AI stack exchange. I want to ask about how to measure how many FPS can a CNN model process during real time detection. I am working on a real time detection system using a CNN model where the camera will be taking…
Jo Sky
  • 3
  • 1
0
votes
0 answers

Does ChatGPT have access to real-time data?

I wanted to see if ChatGPT knows the current time or not, and it persisted that it does not have access to any real-time data and its knowledge is limited to the year 2021 and before. But how does it know the date? I also noticed its responses…
Shayan
  • 101
0
votes
0 answers

What are the properties of a model that is well suited for for high performance real-time inference

What are general best practices or considerations in designing a model that is optimized for real-time inference?
matthias_buehlmann
  • 259
  • 1
  • 6
1
2