How can we … use AI to predict the efficacy of cancer immunotherapy?
20 March 2023
Software Engineering
Machine learning has become an indispensable tool for researchers across disciplines, but the software engineering knowhow required for supporting researchers is in short supply. Accelerate Science will help fill this gap.
As machine learning is adopted across disciplines, scientists are faced with new software challenges related to implementing and maintaining machine learning models. These challenges are becoming a bottleneck to progress. In response, Accelerate Science’s software engineering programme will offer tailored software support to unblock these bottleneck.
Machine Learning Clinic: Accelerate’s Machine Learning Clinic offers expert advice to Cambridge University researchers using AI in their research, helping resolve engineering issues they might encounter when implementing machine learning methods.
Data Engineering for Science School: In December 2022, Accelerate is offering researchers at Cambridge University the opportunity to join an intensive 5-day Winter School on data science for science.
Machine Learning Clinic
Welcome to the Accelerate Science Machine Learning Engineering Clinic! This new initiative seeks to support Cambridge University researchers using AI in their research, by helping resolve engineering issues they might encounter when implementing machine learning methods.
Read MoreData Engineering School
Well-curated and managed data is central to the effective use of AI, in science and elsewhere. How can scientists build the data pipelines they need to accelerate their research with AI?
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