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Mitigating Catastrophic Forgetting in Continual Learning with Bayesian Networks — 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
ownlocalml.com ↗	67 match 1 shared topics	OwnLocalML - Time Series Forecasting with Neural Networks	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
trainday.io ↗	66 match 1 shared topics	Trainday \| Deliver Workplace Learning in Days not Weeks	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
oxrml.com ↗	66 match 1 shared topics	Reasoning with Machines Lab	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
aevilabs.cloud ↗	66 match 1 shared topics	Aevi Laboratories \| AI & Machine Learning Consulting	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
adityaagarwal.me ↗	66 match 1 shared topics	Aditya Agarwal \| Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
rlpet.com ↗	66 match 1 shared topics	RL Pet - Your AI Learning Companion	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
clawandorder.app ↗	65 match 1 shared topics	Claw & Order — Investigative Case Network	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
labeleddata.dev ↗	65 match 1 shared topics	Labaled Machine Learning Data	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
rlcore.ai ↗	65 match 1 shared topics	RL Core Technologies – Intelligent Control with Reinforcement Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
rogerfrigola.com ↗	65 match 1 shared topics	Roger Frigola \| Machine Learning, Racing, Optimization \| Consulting in Data Science and Engineering \| Barcelona	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
tresandco.com ↗	65 match 1 shared topics	Apsisware - The Machine Learning Company	en	artificial-intelligence	robotsllmsaihumans	email phone	none
zackakil.com ↗	65 match 1 shared topics	Zack Akil - Full-Stack Machine Learning Engineer \| London	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ideagildhq.com ↗	65 match 1 shared topics	AI Network for Product & Engineering Leaders \| GILD	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
ifthenlearn.com ↗	65 match 1 shared topics	if: Learn \| Exploring Machine Learning and Theoretical Work Gary Phua	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
miroslavsuzara.com ↗	65 match 1 shared topics	Miroslav Suzara — Building AI Systems for Human Collaboration & Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
rodrigo-rivera.com ↗	65 match 1 shared topics	Rodrigo Rivera - Machine Learning Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ainetwork.in ↗	65 match 1 shared topics	Ai Network	India en	artificial-intelligence	robotsllmsaihumans	emailphone	none
henniglab.org ↗	65 match 1 shared topics	Hennig Lab – Learning and Optimization in Neural Populations	en	artificial-intelligence	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.