I’ve reviewed TabPFN in the past. https://macinchem.org/2025/02/06/looking-at-tabpfn and I noticed there was a recent update. TabPFN is a foundation model trained on around 130,000,000 synthetically generated
Tag: artificial intelligence
Isambard-AI and Dawn AIRR supercomputers: Innovator route Apply for up to 150,000 graphics processing unit hours on the Isambard-AI and Dawn supercomputers for artificial intelligence
OpenADMET have just announced the ExpansionRx-OpenADMET blind challenge in partnership with Expansion Therapeutics. Expansion Therapeutics have decided to make all the ADMET publicly available. “We
Apple just posted preprint on arxiv describing a new protein structure prediction tool SimpleFold https://arxiv.org/pdf/2509.18480. All code is available on GitHub https://github.com/apple/ml-simplefold including a simple
Two free meetings at the start of September. Full details here https://www.c-inf.net and on the 4th September The first event of Michaelmas term with two
Abstract submission is now open for the 8th RSC-CICAG/BMCS Artificial Intelligence in Chemistry Meeting. Details of the meeting are here https://www.rscbmcs.org/events/aichem8/ You can submit abstracts
TabPFN is a foundation model trained on around 130,000,000 synthetically generated datasets that mimic “real world” tabular data. These datasets sampled dataset size and number
A recent paper published in Nature caught my eye, Accurate predictions on small data with a tabular foundation model by Hollmann et al., Here we present
A very nice review of generative models for molecular design from Morgan Thomas. https://cheminformantics.blogspot.com/2024/12/structure-aware-generative-molecular.html Includes Jupyter notebooks for data and analysis.