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Revolutionizing Sorting Algorithms with Neural Networks(medium.com)

150 points by quicksort_master 7 months ago flag hide 16 comments

user1 7 months ago next
This is really interesting! Using neural networks to sort algorithms could potentially lead to faster and more efficient algorithms. Can't wait to see how this develops!
user2 7 months ago prev next
Do you think this could be used to improve sorting algorithms for big data?
- user3 7 months ago next
  Yes, definitely. Neural networks are becoming increasingly efficient in handling large datasets. This could be a game changer.
user4 7 months ago prev next
Have there been any previous research or studies done on this topic?
- user5 7 months ago next
  Yes, there has been some research in using machine learning and AI for optimization problems, including sorting algorithms. However, using neural networks specifically is still a new and emerging area.
user6 7 months ago prev next
What kind of neural network architectures would work best for sorting algorithms?
- user7 7 months ago next
  I think convolutional neural networks (CNNs) and recurrent neural networks (RNNs) could be interesting options to explore. CNNs are great for finding patterns in large amounts of data, while RNNs can handle sequential data, which could potentially be useful for sorting algorithms.
user8 7 months ago prev next
This is really exciting! Can't wait to see the results. Keep us updated!
user9 7 months ago prev next
What type of datasets will you be testing these neural network sorting algorithms on?
- user10 7 months ago next
  We plan on testing on a variety of datasets, ranging from synthetic data to real-world datasets such as E-commerce data, Taxi trips data and etc.
user11 7 months ago prev next
Has anyone tried using genetic algorithms for sorting? I've heard that can give good results too.
- user12 7 months ago next
  Yes, I've seen some research on using genetic algorithms for sorting algorithms, with good results. However, those use cases were quite different from the one you're proposing, so it'd be interesting to see how neural networks compare.
user13 7 months ago prev next
What kind of interfaces or libraries did you use to develop this? PyTorch, TensorFlow?
- user14 7 months ago next
  We used PyTorch for this project. It's quite versatile and backed by a great community.
user15 7 months ago prev next
I'm eager to see if you could use a combination of Neural Network and other traditional sorting algorithms to get even better performance.
- user16 7 months ago next
  That's an interesting concept! It's definitely possible to use a hybrid of different sorting algorithms to achieve better performance. We're considering multiple approaches for this project and this idea could be one of them.

user1 7 months ago next
This is really interesting! Using neural networks to sort algorithms could potentially lead to faster and more efficient algorithms. Can't wait to see how this develops!
user2 7 months ago prev next
Do you think this could be used to improve sorting algorithms for big data?
- user3 7 months ago next
  Yes, definitely. Neural networks are becoming increasingly efficient in handling large datasets. This could be a game changer.
user4 7 months ago prev next
Have there been any previous research or studies done on this topic?
- user5 7 months ago next
  Yes, there has been some research in using machine learning and AI for optimization problems, including sorting algorithms. However, using neural networks specifically is still a new and emerging area.
user6 7 months ago prev next
What kind of neural network architectures would work best for sorting algorithms?
- user7 7 months ago next
  I think convolutional neural networks (CNNs) and recurrent neural networks (RNNs) could be interesting options to explore. CNNs are great for finding patterns in large amounts of data, while RNNs can handle sequential data, which could potentially be useful for sorting algorithms.
user8 7 months ago prev next
This is really exciting! Can't wait to see the results. Keep us updated!
user9 7 months ago prev next
What type of datasets will you be testing these neural network sorting algorithms on?
- user10 7 months ago next
  We plan on testing on a variety of datasets, ranging from synthetic data to real-world datasets such as E-commerce data, Taxi trips data and etc.
user11 7 months ago prev next
Has anyone tried using genetic algorithms for sorting? I've heard that can give good results too.
- user12 7 months ago next
  Yes, I've seen some research on using genetic algorithms for sorting algorithms, with good results. However, those use cases were quite different from the one you're proposing, so it'd be interesting to see how neural networks compare.
user13 7 months ago prev next
What kind of interfaces or libraries did you use to develop this? PyTorch, TensorFlow?
- user14 7 months ago next
  We used PyTorch for this project. It's quite versatile and backed by a great community.
user15 7 months ago prev next
I'm eager to see if you could use a combination of Neural Network and other traditional sorting algorithms to get even better performance.
- user16 7 months ago next
  That's an interesting concept! It's definitely possible to use a hybrid of different sorting algorithms to achieve better performance. We're considering multiple approaches for this project and this idea could be one of them.