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Detection of AI created content
As AI has progressed generating code, writing, music or other intelligent language based skills through an LLM there is a parallel growth in detection of AI generated content. Like everything AI, it is a probability game. Trying to estimate the combination of words/tokens and comparing with what is in the model. Using a standard model…
AI models for Biology
A good website keeping us all current for biological AI models. https://bio.rodeo There are not that many open models but the website lists their “openness” and their citation.
AI in subjective domains
I am exploring how AI can scale expert feedback in subjective domains with a hobby project. After visiting art museums around the world, I kept coming back to a familiar challenge: how do you consistently evaluate something inherently subjective? After having created medical devices in pain, the idea was worth exploring. It’s a question that…
DeepSpot
Kalin Klonchev – the winner of a competition for AI based data analysis from Broad in 2024 had also created a tool called DeepSpot. Worth looking at for spot analysis of H&E sections by converting a full H&E slide pictures to “spots” which are analyzed. Some good links: DeepSpot paper: https://www.medrxiv.org/content/10.1101/2025.02.09.25321567v1 DeepSpot GitHub repository: https://github.com/ratschlab/DeepSpot…
Open source protein models
A company called Profluent (profluent.bio) has been developing protein models that can be used for designing new proteins (https://www.nature.com/articles/s41587-022-01618-2), modeling of new CRISPR-Cas sequences (https://www.nature.com/articles/s41586-025-09298-z) and developing LLM for protein generation (https://www.biorxiv.org/content/10.1101/2025.11.12.688125v1.article-info). What is amazing is that they have open sourced all their models and Profluent-E1 is available in GitHub to download and use. (https://github.com/Profluent-AI/E1)…
LoRa in AI image generators
This stands for Low Rank adaptation. In AI terms, this is a small add-on to the model that makes it do specific things. It is usually used in the context of stable diffusion. A large model takes very long to train with significant resources. However, sometimes, you need specific details – for example you could…
