How can we harness the potential of AI to accelerate scientific discovery? The frontiers, opportunities and challenges of doing so will be discussed at a symposium on 19th November.
A programme here promoting the use of machine learning to tackle major scientific challenges is offering funding for PhD students starting next autumn.
PhD students and postdocs across Cambridge have another chance to apply for a funded training course that is successfully equipping scientists with powerful tools to progress their research.
An April event hosted by the Accelerate Programme for Scientific Discovery here will explore how AI can help advance the frontiers of science and how researchers can benefit from using AI in their work.
We are offering science PhDs and postdocs across the University of Cambridge the free 'Accelerate-Spark Data for Science' training course in February to help them apply data science tools to their own datasets and research problems.
Four Early Career Fellows have just joined our Accelerate Programme to help researchers across the University advance the frontiers of their work through the application of AI.
Our first-ever Schmidt Data for Science Residency Programme is now underway – and is being enthusiastically received by the 27 PhDs and postdocs selected to participate.
A new initiative at Cambridge will equip young researchers outside computer science with the skills they need to use machine learning and artificial intelligence techniques to power their research.
