Curated AI Resources
Hand-picked datasets, courses, newsletters, communities, and developer tools for AI builders and learners.
Research7 found
Clear filterarXiv cs.AI & cs.LG
arXiv is the primary preprint server where virtually all AI and ML research is published before (and often instead of) peer review. The cs.AI (Artificial Intelligence) and cs.LG (Machine Learning) categories receive 50–100+ new papers daily. The heartbeat of the AI research community.
Papers With Code
The definitive resource for tracking state-of-the-art ML research with linked code implementations. Browse benchmark leaderboards across NLP, computer vision, RL, and more. Each paper entry links to GitHub repositories, making it easy to reproduce and build on research.
Semantic Scholar
AI-powered academic search engine from the Allen Institute for AI. Semantic Scholar indexes 200 million+ papers with AI-extracted insights: citation context, influential citations, abstract summaries, and related paper recommendations. Free API available for building research tools.
Anthropic Research
Anthropic's research publications covering constitutional AI, interpretability, scaling laws, and AI safety. Anthropic publishes foundational work on making LLMs more honest, harmless, and helpful. The team behind Claude shares their most important findings openly.
Google DeepMind Research
Google DeepMind publishes research across reinforcement learning, protein folding (AlphaFold), game-playing AI (AlphaGo, Gemini), robotics, and scientific discovery. One of the most prolific and impactful AI research labs, responsible for some of the most cited papers in ML history.
Connected Papers
Visual tool for exploring academic literature. Enter a paper and Connected Papers generates a visual graph of related and citing papers, helping researchers discover the intellectual neighbourhood of any topic. Essential for literature reviews and understanding how a field has developed.
Eleuther AI Research
EleutherAI is a grassroots AI research collective focused on open-source AI and interpretability research. They produced GPT-Neo, GPT-J, GPT-NeoX, The Pile dataset, and Pythia. Their alignment and interpretability research (especially activation patching) is highly influential.
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