Uploaded January 2022 | Updated September 2026, 10 hours ago
Machine Learning (ML) research has grown exponentially popular over the years. With the success of deep learning, many people have aimed to take up research in machine learning, but find the space too overwhelming. Is AI and machine learning research oversaturated? What about areas like NLP and computer vision? I don't think so.
Reddit post: reddit.com/r/MachineLearning/comments/s2g1rb/d_is_ai_research_reaching_saturation
Photorealistic image generation: github.com/tkarras/progressive_growing_of_gans
Art generation: github.com/rbbrdckybk/ai-art-generator
Papers per day reference: data-mining.philippe-fournier-viger.com/too-many-machine-learning-papers
Machine Learning (ML) research has grown exponentially popular over the years. With the success of deep learning, many people have aimed to take up research in machine learning, but find the space too overwhelming. Is AI and machine learning research oversaturated? What about areas like NLP and computer vision? I don't think so.
Reddit post: reddit.com/r/MachineLearning/comments/s2g1rb/d_is_ai_research_reaching_saturation
Photorealistic image generation: github.com/tkarras/progressive_growing_of_gans
Art generation: github.com/rbbrdckybk/ai-art-generator
Papers per day reference: data-mining.philippe-fournier-viger.com/too-many-machine-learning-papers
![Automating Research With GPT API [Livestream]](https://i.ytimg.com/vi/VnZpmDaWpEc/mqdefault.jpg "Automating Research With GPT API [Livestream]
The title says it all, Im figuring this out as I go! Currently Im using GPT-3.5 turbo to do all this testing.
The current plan is to create a system that:
1. Can generate research ideas in a target area
2. Use the idea to make a list of proof of concept experiments
3. Write the code for the experiments
4. Debug")
