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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?".
1
vote
Two chatbots - One teaches another
There has been some work in this area but with three chat bots. Xing Han Lu has developed some code called Generative Adversarial Bots (GABs) which builds on the concept of Generative Adversarial Net …
0
votes
Paper to cite about normalizing the inputs to a neural network
The following paper is about time series and provides a good explanation.
Passalis, N., Kanniainen, J., Gabbouj, M. et al. Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalizat …
2
votes
Accepted
Have machine learning techniques been used to play outdoor games, like cricket or badminton?
Yes it is possible.
A group of Chinese college students and teachers made a robot that plays badminton. I am sure someone will make a robot that can play cricket and other outside games.
Althou …
1
vote
Accepted
Is there a way of computing a prominence score based on the prevalence of features in an image?
Saliency is typically discussed more in object detection or scene understanding than prominence. There are lots of papers on saliency models. "What do different evaluation metrics tell us about sali …
6
votes
Does an AI exist that can write software based on a formal specification?
I think that the answer to your question is yes. In the article New A.I. application can write its own code, the authors state
Computer scientists have created a deep-learning, software-coding applic …
1
vote
Accepted
How can I do video classification while taking into account the temporal dependencies of the...
Look at spatio-temporal CNNs which extend the image-based CNN in 2D to 3D to handle time. These are commonly used to detect or classify action in a video. People have used them to identify specific …
2
votes
Accepted
Which AI techniques are there that combine multiple models to make sense of data at differen...
You have explained a pipeline of AI algorithms for text in images: 1) Text detection, 2) OCR, 3) named entity recognition (NER). There are reams of paper on these topics.
Extracting City and Country N …
1
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What are the most popular and effective approaches to leveraging AI for stock price prediction?
Your list is complete for what is considered 'popular' by most practitioners who apply AI for stock trading. Supervised learning and rule learning are at the top for accuracy. There are more academi …
3
votes
What is the minimum video resolution I need to identify anyone with facial recognition?
On page 2 of Axis' web page Identification and Recognition there is an estimate of the minimum number of pixels needed for identification, recognition and detection.