Created by Ethan Lazuk
Last updated:
New research analyses every week (or thereabouts)!
About Hamsterdam Research
Hamsterdam Research is a place dedicated to exploring AI knowledge in an accessible manner.
Each week, we’ll look at at a recent AI research paper to explain what it’s talking about and how it could apply hypothetically to the evolution of search and marketing.
This is the second spin-off project in Hamsterdam. While Hamsterdam is a place for weekly marketing and AI news recaps, and Hamsterdam History offers analyses of vintage marketing articles, Hamsterdam Research is about looking at AI research papers for theoretical and future insights.
The goals of Hamsterdam Research are to broaden our knowledge of AI, ML, and DNN fundamentals and explore advanced topics in IR or NLP to better understand how search engines (and AI-answer engines) could work today or in the future.
In short, by broadening our understanding of AI-related topics, we’re looking for theoretical and practical insights to help us do our jobs better as marketers.
Latest research analyses:
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Thanks for visiting Hamsterdam Research. I hope you enjoy the learning adventure!