Predictive Models – Is There Anything Wrong? Computational modelling of data (or ‘Artificial Intelligence’ if… Read More »How to Lie With Computational Predictive Models in Drug Discovery
Nikolaus Fortelny just completed his postdoctoral research at the CeMM Research Center for Molecular Sciences… Read More »Knowledge-Primed Neural Networks Enable Biologically Interpretable Deep Learning on Single-Cell Sequencing Data: Interview With the Author
Recent work by IBM, featured in articles such as “IBM seeks to simplify robotic chemistry”… Read More »Will Robotics, AI and Cloud Computing In Chemical Synthesis Save Drug Discovery? A Closer Look
Recording of 2 September 2020 Meeting Dear All, The recording of the Cambridge Cheminformatics Meeting… Read More »Cambridge Cheminformatics Meeting: Video 2 Sep; Registration 25 Nov 2020; 2021 Dates
This is the online version of the newsletter – if you would like to receive… Read More »Cambridge Cheminformatics Newsletter, 24 August 2020
An interview with the Editor-In-Chief of Applied AI Letters, Dr Edward Pyzer-Knapp from IBM Research… Read More »‘Applied AI Letters’ – A New Journal With Emphasis on Real-World Validation
Guest contribution by Stefan Kuhn, De Montfort University To ensure that our community receives the… Read More »Special Issue on Applications of Machine Learning and Artificial Intelligence in NMR – Invitation to Contribute
Zachary del Rosario has just finished his PhD at Stanford and has begun a visiting… Read More »Assessing the Frontier: Active Learning, Model Accuracy, and Multi-Objective Candidate Discovery and Optimization: Interview with the Author
Dear All, The programme for our Cambridge Cheminformatics Meeting has just been confirmed as follows,… Read More »Programme Online, Registration Open: Cambridge Cheminformatics Meeting, 2 September 2020 (on Zoom, open to all)
Dear All, I would like to circulate some current Cheminformatics (and -related) news to everyone… Read More »Cambridge Cheminformatics Newsletter, 7 August 2020