A good website keeping us all current for biological AI models.
There are not that many open models but the website lists their “openness” and their citation.
A good website keeping us all current for biological AI models.
There are not that many open models but the website lists their “openness” and their citation.
Observability is important for AI and AI tools. It is the ability to monitor them for token usage, response quality and model drift. Typically, an AI system is monitored through logs, traces and metrics but an AI system on AI agent may need other metrics. Troubleshooting a complex AI system that produces its output probabilistically…
The AI automations have only increased. There is one interesting one that has been receiving publicity. Check it out: https://knowledgework.ai It takes notes while the person is working and becomes the second brain. Privacy and access may be of concern but capability is available with AI tools.
Talk to knowledge graph – sparql-tool Use LLM.: Hallucinations (sometimes good for creativity), Outdated knowledge, no access to your data ( trained on public knowledge). Solutions: Fine tuning – retrain the model on domain data RAG – Search: look things up in real time. Claude code looks at searched doc. Vector embeddings: semantic similarity search…
I spent a Friday last week at the AWS AI League drug discovery challenge in Boston, and for a very short while I was first on the leaderboard. I finished outside the prizes, and the reason taught me a lot. It was an eye opener for AI use in drug discovery and development. The task:…
Bayreuth GmbH: Thermoset formulations are made by trial and error and by SME. Sometimes made by Design of experiments and in future by ML. Bayesian optimization: Eg: Bio based formulations – such as epoxy amine reactions by trying to determine the glass transition temperature. Also – machine learning to develop flame retardant formulations. Then it…
Knowledge graph is a way of representing information where entities/nodes (people, places, products, concepts) are linked by relationships/edges (works, creates, has ). It is a semantic network that captures facts and context. There is also an ontology that defines different types of node/edges and defines what types exist and how they relate. These are used…
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