MarketTrader Community Rules:

1. Discussion topics are limited to research and development in the field of artificial intelligence and neural networks.
2. Non-community content will be removed.
3. Advertising, self-promotion and spam are not allowed - we are here for professional networking and knowledge sharing.
4. Be friendly and respectful to other participants.
5. Post only original, unique content. Plagiarism and copy-paste are prohibited.
6. Stick to the facts and avoid unnecessary speculation when discussing AI technologies.
7. Stick to the facts when discussing AI technologies.
8. Demonstration of the work of AI in the form of screenshots of dialogues is welcome, subject to copyright.
9. Post unique content. Be respectful.
10. Violation of the rules may result in a warning or blocking of the account.

We wish you productive cooperation!

1. IEEE Computational Intelligence Society (CIS) is an IEEE international community dedicated to neural networks, machine learning and other areas of AI.
   https://cis.ieee.org
2. The Association for the Advancement of Artificial Intelligence (AAAI) is a non-profit organization that promotes scientific research in the field of AI.
   https://aitopics.org/
3. International Neural Network Society (INNS) is an international community of scientists and engineers in the field of neural networks.
   https://www.inns.org/
4. Microsoft Research AI is a division of Microsoft dedicated to fundamental and applied research in the field of AI.
   https://www.microsoft.com/en-us/research/group/microsoft-research-ai/
5. OpenAI is a research company that develops AI with open access to results.
   https://openai.com/
6. AI Index - a collection of metrics and data on research and development in the field of AI.
   https://aiindex.org/
7. Arxiv is the largest open archive of preprinted scientific papers on machine learning and AI.
   https://arxiv.org/list/cs.AI/recent
8. Papers with Code is an open source repository of machine learning articles.
   https://paperswithcode.com/
9. Kaggle is a competition and dataset platform for machine learning and data science.
   https://www.kaggle.com/
10. Github - open source repositories for machine learning and AI.
    https://github.com/topics/machine-learning

These resources can be helpful for discovering new ideas, connecting with top experts and teams, and keeping up with the latest trends in AI and machine learning.

1. Neural Information Processing Systems (NeurIPS) is the leading conference on machine learning and neural networks.
   https://neurips.cc/
2. International Conference on Machine Learning (ICML) is an annual conference on machine learning and related fields.
   https://icml.cc/
3. Neural Networks journal is a peer-reviewed scientific journal dedicated to neural networks.
   https://www.journals.elsevier.com/neural-networks
4. Deep Learning Indaba is a community for knowledge sharing about deep learning in Africa.
   http://www.deeplearningindaba.com/
5. Distill is a machine learning magazine with a focus on learnability and transparency.
   https://distill.pub/
6. Berkeley AI Research (BAIR) is Berkeley's deep learning research group.
   https://bair.berkeley.edu/
7. Paperspace Gradient is a blog about the practical application of neural networks.
   https://blog.paperspace.com/category/gradient/
8. Deep Learning Monitor - discord channel with news about neural networks.
   https://discord.gg/GxG4qQDbCg
9. Tim Dettmers is a researcher's blog about deep learning.
   https://timdettmers.com/
10. Metalearning Symposium is a conference dedicated to meta-learning and meta-optimization of neural networks.
    https://metalearning-symposium.org/

These resources can be helpful for keeping up with the latest trends and networking in the field of neural networks.