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ML@UVA - Machine Learning at the University of Virginia — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
lampert.ai ↗	73 match 1 shared topics	Moritz Lampert \| Machine Learning on Graphs	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
oxai.org ↗	72 match 1 shared topics	OXAI \| The UK’s Largest AI Society at the University of Oxford	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
polpuigdemont.com ↗	71 match 1 shared topics	Pol Puigdemont – Machine Learning PhD at EPFL	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
lahlou.org ↗	71 match 1 shared topics	Salem Lahlou \| Assistant Professor of Machine Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
michaelalbert.co ↗	71 match 1 shared topics	Michael Albert: University of Virginia - Home	Colombia en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mbmlbook.com ↗	71 match 1 shared topics	Model-Based Machine Learning: an online book	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
heykarthik.com ↗	71 match 1 shared topics	Karthik Iyer \| Machine Learning Engineer & Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
conjectureai.com ↗	70 match 1 shared topics	ConjectureAI \| Machine Learning Solutions	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
digitalmanufacturingreports.com ↗	70 match 1 shared topics	Digital Manufacturing Reports with Machine Learning & AI	en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
cong-ai.com ↗	70 match 1 shared topics	CONG - Artificial Intelligence and Machine Learning based app	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mcml.ai ↗	70 match 1 shared topics	MCML - Munich Center for Machine Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vivapredict.com ↗	70 match 1 shared topics	Predictive Analytics using Machine Learning by Kathryn Durham	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
shrestanitech.com ↗	70 match 1 shared topics	Shrestani Tech: Quantum Machine Learning Experts \| KvantoMente	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
shuishida.com ↗	69 match 1 shared topics	Shu Ishida – Senior AI Research Scientist at Autodesk \| Machine Learning DPhil, University of Oxford	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
bifold.berlin ↗	69 match 1 shared topics	BIFOLD Berlin - Big Data Management and Machine Learning	en	artificial-intelligence TYPO3	robotsllmsaihumans	emailphone	none
epoch8.co ↗	69 match 1 shared topics	Machine learning and data analysis solutions	Colombia en	artificial-intelligence	robotsllmsaihumans	emailphone	none
lamarrinstitute.org ↗	69 match 1 shared topics	The Lamarr Institute for Machine Learning and Artificial Intelligence	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
lamarr-institute.org ↗	69 match 1 shared topics	The Lamarr Institute for Machine Learning and Artificial Intelligence	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.