THE COLLECTION
EVERY SIGNAL, SORTED.
Search the whole shelf by topic, tool, term, or plain old curiosity.
Europe, ELLIS, AI Research, Research Networks, France, Germany, Austria, Ireland, Norway, Universities, Open Science, Compute Access, Research Mobility, Doctoral Training and Public Accountability
Europe added five ELLIS AI units. Make the network share more than a badge
Côte d’Azur, Hamburg, Innsbruck, Ireland and Norway have joined Europe’s ELLIS research network. The map is wider. Now the useful question is whether projects, people, compute and reusable results actually move across it.
United States, Project ProtoStar, Open Science, Public Research, Scientific Data, Metadata, Provenance, Licensing, Versioning, Climate Risk, Research Infrastructure and Responsible AI
Project ProtoStar wants science to be AI-ready. Keep the provenance attached
Universities, open-science groups and Hugging Face want publicly funded datasets, models and code to be easier for people and AI systems to reuse. The useful unit is not a naked file. It is an artifact with its methods, license, lineage and limits still connected.
Switzerland, France, Particle Physics, Foundation Models, AI for Science, Open Science and Scientific Validation
CERN is training one model on billions of collisions. The lab notebook should be public
CERN and Mistral want one foundation model to help reconstruct collisions, identify particles, flag surprises and test detector designs. The ambition is large. So is the need for a public record of the simulations, versions, baselines, uncertainty and failed ideas behind it.
Canada, Peptide Discovery, Open Science, Drug Research, Machine Learning and Experimental Validation
OpenPep got $2.3 million for peptide discovery. The validation pipeline should be public
A University of Toronto team plans to pair large-scale peptide experiments with machine learning and release an open research resource. The promising part is not a model guessing molecules. It is a loop where every prediction must return to the lab and the resulting evidence stays inspectable.
Global Pandemic Research, Open Science and Protein Structure Prediction
A viral protein atlas opened 2,800 doors, not 2,800 cures
NVIDIA, Google DeepMind, EMBL-EBI and research partners released predicted protein complexes from more than 2,800 viruses. The open stockpile can accelerate hypotheses, but every promising shape still owes the laboratory a receipt.