There are many tech startup’s but the one that is bringing all the knowledge and work into one umbrella is Knowledge.ai Check them out.
There are many tech startup’s but the one that is bringing all the knowledge and work into one umbrella is Knowledge.ai Check them out.
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…
There are many tools for generating new molecules needed for new drugs. Some are open source and other’s are made by companies as paid subscriptions or paid collaborations. These AI tools help in docking of a new chemical entity to the protein of interest, or they can also help in designing the chemical compound, DNA/RNA…
AI agents are everywhere accomplishing activities. Drug Discovery agents have been coming on fast and the scale at which these agents approach drug discovery is phenomenal. There is a great example of a AWS agent that was SPECification built using Kiro from scratch in 3 weeks that delivers drug targets. Amazing to see that it…
Art especially with pencil and paper is the culmination of human esthetic and often times is dependent on the eye of the beholder. Some artwork that is meaningful to one person is not so understandable or sometimes even ugly to the other person. So how do you judge art. There are several ways to do…
There are many ways that websites show their landing pages. Usually there are a lot of graphics. The Harvard innovation lab does it wonderfully with their landing page for one of their challenges showing particles which are responsive to mouse movement. Very dynamic and very intriguing! https://innovationlabs.harvard.edu/presidents-innovation-challenge/finalists The developer’s console tells you a bit about…
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)…
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