
Accelerate_Science
@acceleratesci
Advancing the frontiers of science through the application of AI.
ID: 1371866225421213702
https://acceleratescience.github.io 16-03-2021 16:49:53
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🚀New #AI funding call for Cambridge University Professional Services staff🚀 Our new initiative will support administrative teams across the University in using #AI to enhance operations. 📅 Join us for our Q&A session on Friday 2 May! ➡️ More info: ai.cam.ac.uk/calls/ai-for-u…



Join the next CambridgeEllisUnit seminar on 21 May Engineering Dept, full details below.

The next lunchtime seminar takes place on Monday 19 May from 12:00 - 13:00 with Moshe Eliasof, Research Associate Cambridge Image Analysis group Faculty of Mathematics - University of Cambridge sharing his research On Activation and Normalization Layers in Graph Neural Networks. Register to attend: bit.ly/3S1mr8r



This week Neil Lawrence was on BBC Radio 4's Life Scientific - catch up now on his conversation with Professor Jim Al-Khalili about the role of AI.

📢 New blog! Find out how Marta Correia uses AI to diagnose movement disorders such as Parkinson’s earlier. Marta took part in the Accelerate- Cambridge Spark Residency & Academy to support her transition to working with Python. Find out more: bit.ly/3ZicMOM



A reminder that our 2025 funding call with Cambridge Centre for Data-Driven Discovery is now live! We are holding a Q and A session about the call on Thursday 22 May from 15:00 - 16:00 - register to attend: bit.ly/4jIKsNW

What value could #AI offer in university assessment and marking? Find out how Dr Deborah Talmi, Dept of Psychology, is leading our AI-deas project to develop a new framework for the role of #AI in student evaluation. ➡️ ai.cam.ac.uk/blog/the-futur…


📢 New blog! Find our how Dr Sam Ip BHF Cardiovascular Epidemiology Unit at Cambridge used funding from the Accelerate - Cambridge Centre for Data-Driven Discovery call to convene researchers to talk about distribution shifts in early cancer detection. Find out more: bit.ly/3YZcw7f


📢 Spaces available on our LLM Hands on Workshop at West Hub on 10 June! 🔎 You’ll work in teams on real datasets, with support from Accelerate Science Machine Learning Engineers & researchers. Open to all Cambridge University PhD students & staff, sign up: bit.ly/3YYssH2



Looking to develop your career in AI for Science? We are recruiting Machine Learning Engineers to join the team, developing & delivering support for researchers Cambridge University using AI in their work. Find out more & apply by 22 June: jobs.cam.ac.uk/job/51390/


New AI clinic slots available to book on 5 and 12 June. Open to all Cambridge University PhD students and researchers, our clinic offers free expert advice on any AI and machine learning questions. Book a slot: training.cam.ac.uk/event/5821418

📢New blog! Find out how Florian Jaeckle based at the Department of Pathology, Cambridge University Hospitals NHS & Hughes Hall is using AI to speed up diagnosis of coeliac disease developing an algorithm that correctly identified more than 95 cases out of 100. Find out more: bit.ly/3Z3Q6C0
