AI Daily PhD is a daily publication delivering curated intelligence on artificial intelligence research, papers, tools, and technical developments. Our editorial process combines automated curation from ArXiv, GitHub, Semantic Scholar, and leading AI communities with expert editorial oversight.

Designed for researchers, PhD candidates, and ML engineers who need to stay at the frontier. We distill the most significant developments in machine learning, natural language processing, computer vision, reinforcement learning, and AI infrastructure into concise, analytically rigorous briefings.

Twice weekly, our Editor-in-Chief contributes original analysis on emerging trends and breakthrough research, providing the deeper context that automated summaries cannot capture.

Editorial Standards

Every briefing undergoes a three-stage process: automated identification and ranking of significant developments, followed by editorial verification of claims and methodology, and finally, contextual analysis situating each development within the broader research landscape.

We prioritize reproducibility, methodological rigor, and genuine scientific contribution over hype. When a paper's claims outpace its evidence, we say so.

Our Sources