Questions tagged [real-time]
The real-time tag has no usage guidance.
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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}...
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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 ...
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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 ...
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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 ...
- 478
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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?
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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 ...
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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?
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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 ...
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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 ...
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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 ...
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Different useful approaches of implementing real-time AI? [closed]
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 ...
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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 ...
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Which techniques can achieve neural doodle in real-time?
Ideally I'd like to watch movie which is deep dreamed in real-time. Most algorithms which I know are too slow or not designed for real-time processing.
For example I'm bored with some movie which I'...
- 10.3k
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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 ...
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