Check out the new blog from ai@cam! Hear from the Womb2World team who are exploring the use of AI to revolutionise women’s health, fertility and early infant neurodevelopment.

Check out the summary and presentations from the best practices in AI event Research & Innovation IT including a talk from our Machine Learning Engineer Ryan Daniels on Docker for Machine Learning.

🌳 How can we use #AI for forest conservation? Researchers Emily Lines & Harry Owen, from our AI-deas climate & nature project, are using billions of laser-captured data points to measure #biodiversity & make carbon accounting more accurate. Read more ⬇️ cam.ac.uk/node/247151

A reminder of our open funding call with Cambridge Centre for Data-Driven Discovery! Open to PhD students and staff Cambridge University, the call will provide up to £25k for projects exploring novel applications of AI for research and innovation. Find out more and apply by 18 September: bit.ly/44Wp15h

Last term, over 70 participants from Cambridge University completed our courses on LLMs, diffusion models & publishing & packaging Python code. Planning your diary for next term? Join our mailing list to be notified when sign up launches for our next courses: eepurl.com/hyzVxz

Check out the video below from our colleagues Institute of Computing for Climate Science to meet the team and find out more about their work.

This year we have held 8 AI café sessions with colleagues Cambridge Judge, School of Biological Sciences, Cambridge Chemistry, West Hub, Cambridge, Cambridge Materials, Cambridge Digital Humanities, Cambridge AI Club for Biomedicine & Christ's College. Where should we go next? Get in touch if you would like to host a session in your Department or College!

Did you know our AI clinic offers free support to researchers Cambridge University? Our AI experts can help with issues across the research pipeline, from writing proposals to implementing & deploying models. Get in touch to find out how we can support you! bit.ly/3ERxWcu

The 2024 Accelerate-Cambridge Centre for Data-Driven Discovery funding call is open until 18 Sept. Find out more: bit.ly/44Wp15h Read about previous projects on our blog including Maya Juman's work exploring use of AI in museum collections to support viral surveillance: bit.ly/3VnwlUO

To date 470 researchers have signed up for our free Python for Science course. The course teaches fundamentals of Python & the data analysis library Pandas & you’ll work with a real dataset of healthcare facilities. Open to researchers at any institution: bit.ly/3TRJh0Q

Are you starting your PhD Cambridge University this October? If you are interested in building your skills in AI to apply to your research then sign up to our mailing list to be notified when our next courses and workshops launch! eepurl.com/hyzVxz

Check out the interview below on BBC HARDtalk where Professor Neil Lawrence Neil Lawrence talks about what it means to be human in the age of AI

Good Morning USA! (and Canada) US version of Atomic Human released today! hachettebookgroup.com/titles/neil-d-…

📢We are pleased to announce that our training courses & workshops for next term are open for booking! Join us for courses exploring LLMs, diffusion models, publishing & packaging & Docker and hands on workshops to apply your AI skills. Register now: bit.ly/4fG99J9

Just over a week until the deadline for our funding call with Cambridge Centre for Data-Driven Discovery! This call will provide up to £25k for projects exploring innovative applications of AI in research & real world contexts. Find out more and apply before 17:00, 18 September: bit.ly/44Wp15h

Sign up for an AI Clinic slot to speak to our Senior Machine Learning Engineer and find out how we can support you to implement AI in your research.