Welcome to Neural Notions: Write For Us
Hello and welcome to the Neural Notions Publication on Medium!
The intersection of machine learning, artificial intelligence, and practical applications is reshaping how we understand data, optimize systems, and make informed decisions. From graph neural networks powering recommendation systems to large language models transforming natural language understanding, from quantitative trading strategies to real-world ML deployment, the field of applied AI is evolving rapidly.
What Is Neural Notions Publication?
Neural Notions is dedicated to providing in-depth, technically rigorous coverage of machine learning applications, AI research, and the practical implementation of neural networks across diverse domains. We focus on bridging the gap between academic research and real-world deployment, offering insights that benefit researchers, engineers, practitioners, and enthusiasts alike.
We believe that machine learning and AI have the potential to solve complex problems across industries, and we want to share cutting-edge knowledge, practical techniques, and thoughtful analysis with our community.
Content We’re Looking For
We’re interested in covering topics including, but not limited to:
- Machine Learning & Deep Learning: Graph neural networks, convolutional neural networks, recurrent architectures, attention mechanisms, and transformer models
- Large Language Models (LLMs): Fine-tuning techniques, prompt engineering, operational economics, inference optimization, and LLM applications
- Applications of Machine Learning: Use cases in finance, healthcare, e-commerce, recommendation systems, and computer vision
- Quantitative Finance & AI: Trading strategies, derivatives pricing, portfolio optimization, and ML applications in financial markets
- Model Optimization & Deployment: Efficient inference, model compression, edge deployment, and production ML systems
- AI Research & Trends: Latest developments in academia, research paper breakdowns, and emerging technologies
- Graph Machine Learning: Applications in social networks, knowledge graphs, molecular modeling, and recommendation engines (Google Maps, Netflix, Spotify use cases welcome)
- Ethical AI & Responsible AI: Bias detection, fairness, interpretability, and societal implications of AI systems
- Technical Tutorials & How-To Guides: Practical implementations, code walkthroughs, and hands-on ML projects
- The Future of AI: Where the technology is headed, emerging paradigms, and long-term implications
How To Become A Writer
We’re seeking writers who are passionate about machine learning, AI, and neural networks — whether you’re a researcher, ML engineer, quantitative analyst, content creator, or someone fascinated by the intersection of data science and real-world problem-solving. We welcome diverse perspectives and expertise levels, from beginner tutorials to advanced research discussions.
To become a writer:
- Simply leave your Medium username and a brief description of your expertise or interests in the comment section. Tell us what areas of ML/AI excite you most.
- We’d also love it if you clap this article and follow the publication to stay updated on the latest submissions.
How To Submit
Submit your stories by following Medium’s tutorial on how to add a draft or post to publication.
If you don’t hear back from us within three business days, please assume that we have respectfully considered and passed on your submission. We receive many submissions and review each one carefully.
Submission Guidelines
To ensure the highest quality of content and maintain consistency with Neural Notions’ standards, please follow these guidelines:
Get Nikhil’s stories in your inbox
Join Medium for free to get updates from this writer.
Content Requirements
- Minimum Length: All submissions must be at least 500 words. Shorter pieces, while occasionally considered, will be evaluated for exceptional quality and unique insights.
- Technical Rigor: Articles should demonstrate solid understanding of ML/AI concepts. If explaining complex topics, do so with accuracy and nuance.
- Original Value: Your article should provide either new insights, practical techniques, comprehensive tutorials, or thoughtful analysis that benefits our readers. Avoid generic or surface-level treatments of well-covered topics.
- Human Voice & Connection: Articles should reflect genuine expertise and passion. We reject submissions that lack human insight, sound formulaic, or appear to be primarily AI-generated without substantial human authorship and refinement.
Code & Technical Content
- Code Blocks: Any code snippets should be functional, well-commented, and directly relevant to your article’s narrative. Test your code before submission.
- AI-Generated Code: If you used AI tools (ChatGPT, GitHub Copilot, Claude, etc.) to assist with code generation, clearly disclose this within the article. Describe how you validated, modified, or improved the code.
- Libraries & Dependencies: Specify versions and provide installation instructions where relevant.
Visual Content & Media
- Images, Diagrams & Illustrations: All visual content must be appropriately captioned. If images or graphics are AI-generated (using DALL-E, Midjourney, Stable Diffusion, etc.), explicitly label them as such with a caption noting the AI tool used.
- Diagrams & Charts: Original diagrams, architectural drawings, and data visualizations are highly encouraged. Ensure they’re clear, properly labeled, and enhance understanding.
- Source Attribution: Cite sources for any images, datasets, or referenced research. Use proper attribution for images from external sources.
Writing & Formatting Standards
- Grammar & Proofreading: Submissions should be well-written with minimal typographical or grammatical errors. Use a grammar checker (Grammarly, etc.) before submitting.
- Formatting: Use Medium’s built-in formatting tools effectively — headings, subheadings, bullet points, code blocks, and line breaks — to improve readability.
- Tone: Write for an intelligent, technically-minded audience. Avoid overly casual language, but also avoid unnecessarily dense prose. Aim for clarity and accessibility without sacrificing depth.
- Citations & References: Link to research papers, documentation, or sources you reference. Use Medium’s linking feature or embed arXiv links where appropriate.
Disclosure & Authenticity
- AI-Assisted Writing: If you used AI writing tools (ChatGPT, Claude, etc.) to draft, edit, or significantly refine your article, disclose this. Be transparent about the extent of AI involvement.
- Conflicts of Interest: If you’re writing about tools, platforms, or products you have a financial interest in, clearly disclose this.
- Plagiarism: All content must be original or properly attributed. Do not submit previously published work without explicit permission and disclosure.
Submission Restrictions
- Active Submissions: Approved writers may have up to 5 active submissions under review simultaneously. New writers may have up to 3 active submissions under review at any given time.
Rejection Criteria: Submissions will be rejected if they:
- Fall below the 500-word minimum
- Contain excessive grammatical or typographical errors
- Lack technical depth or accuracy
- Provide little substantive value to readers
- Appear primarily AI-generated without meaningful human contribution
- Lack proper formatting or readability
- Violate our disclosure guidelines
Why Neural Notions?
By publishing with Neural Notions, you’ll reach an engaged community of machine learning practitioners, AI researchers, quantitative traders, data scientists, and technology enthusiasts. Your work will contribute to conversations that matter — advancing understanding of AI, improving real-world applications, and exploring the frontier of neural networks and machine learning.
We’re building a community where rigorous, insightful, and practical knowledge about ML and AI thrives.
Questions?
If you have questions about the submission process, guidelines, or our publication, feel free to leave a comment on this article.
Together, let’s explore the frontiers of machine learning, neural networks, and artificial intelligence. We look forward to reading your submissions and sharing your insights with our community!
