
Day two of SynTech, and the walk through the University of Greenwich campus into the conference is a scenic way to start a morning.
Yesterday was a great first day. A lot of the conversations at the stand came back to the same theme - how data-driven machine learning is starting to reshape the way chemistry gets done.
Transfer learning came up repeatedly: treating related reactions as correlated tasks so that a Gaussian process can share information across them, rather than modeling each campaign in isolation.
Special thanks to the organisers for a great event.
If you have not made it over yet, there is still time - we are at stall 7 through to the end of the event, and always happy to chat.