Accelerate Programme for Scientific Discovery
@acceleratescience
Advancing the frontiers of science through the application of AI.
This week we are excited to be at the FENS-Chen Institute Summer Program on AI-Accelerated Neuroscience Discovery & Translation! Lots of exciting conversations with researchers using AI in neuroscience. Thanks to Zoe Kourtzi, Eleni Vasilaki and our colleagues @c2d3.cam.ac.uk for the invitation!
Thank you to everyone who joined our Introduction to AI and Large Language Models (LLMs) workshop last week! 🚀 Are you based at @cam.ac.uk and looking to develop your AI skills for science and research this summer?☀️ Sign up for one of our June workshops: training.cam.ac.uk/apsci/search
📢 New blog! Kieran Russell @kieran-russell.bsky.social developed a GPU-accelerated model to simulate chromatin structure. The work combines computational simulations with experimental data to understand how DNA compacts into cell nuclei.🧬 Find out more: bit.ly/42vA319
Interested to find out more about research taking place in AI for Science? 🤖 Join us over pizza for our final @acceleratescience.bsky.social Lunchtime Seminar of the Easter term, Monday 1 June, 12pm - 1pm in Room SS03, William Gates Building! Register to attend: bit.ly/4nsCjjc
New AI clinic slots available to book in May and June! 🗓️ Open to all @cam.ac.uk postgraduate students, researchers and staff, our clinic offers free expert advice on any AI and machine learning questions. Book a slot: training.cam.ac.uk/apsci/search
Great talk by Zheng Jie Liew (2025 Accelerate- @c2d3.cam.ac.uk awardee) at iDMT's AI & automation conference! His project uses an ML framework trained on 30k+ plastic-solvent combinations to predict optimal solvents for recycling specific plastics from waste.🧪 Find out more: bit.ly/4rpvSiy
📢 A few spaces left for our Multi-Agent Systems for Scientific Research Hackathon on 11 May! LLMs perform well on benchmarks. The harder problem: orchestrating multiple agents across complex, multi-step research workflows. Find out more and register: bit.ly/4vTehl8
📢Booking is now open for our @acceleratescience.bsky.social training courses this term! Workshops are free and open to all PhD students and staff @cam.ac.uk. Sign up now to develop your AI skills and apply them in your research. Find out more and book: science.ai.cam.ac.uk/events
Interested to find out more about research taking place in AI for Science? 🤖 Join us over pizza for our first @acceleratescience.bsky.social Lunchtime Seminar of the Easter term, Monday 20 April, 12pm - 1pm in Room SS03, William Gates Building! Register to attend: forms.office.com/e/wm9pfDZSMt
📢 New blog! Villiam V. Kildal and team are developing the aICU project: AI for clinical decisions in intensive care. This international research partnership aims to bridge the gap between AI innovation and real clinical practice. Find out more: bit.ly/4aGupgb
New AI clinic slots available to book in February! 🗓️ Open to all @cam.ac.uk postgraduate students, researchers and staff, our clinic offers free expert advice on any AI and machine learning questions. Book a slot: training.cam.ac.uk/apsci/search
📢We are pleased to announce that booking is now open for our training courses this term! Courses are open to all postgraduate students and staff from @cam.ac.uk, sign up now to develop your AI skills and apply them in your research. Find out more and book: science.ai.cam.ac.uk/events
Last week @acceleratescience.bsky.social ran its first AI Winter School for undergraduates!🚀 3 days of hands-on learning covering LLMs, research software engineering, GPU fundamentals, responsible AI development, and high performance computing. Thank you to all speakers and student participants!
Thank you to everyone who joined us on 9 December for this year's AI for Science Summit! 🎉 The event explored AI's impact across science, from interpretable ML in healthcare to AI for weather prediction. Live illustration by Scriberia 🎨 More information: bit.ly/4q130vg
Interested to find out more about research taking place in AI for Science? 🤖 Join us over pizza for our final Accelerate Programme Lunchtime Seminar this term, Monday 15 Dec, 12pm - 1pm in Room SS03, William Gates Building! Register to attend: science.ai.cam.ac.uk/events/accel...
We are delighted to announce the 2025 Accelerate – @c2d3.cam.ac.uk funded projects! 🎉 Projects will catalyse discoveries to accelerate scientific progress & create AI tools capable of delivering benefits for science & society. Find out more: bit.ly/4rpvSiy
📢 New blog! @zhou-hy.bsky.social used LLMs to investigate whether disease research happens where it's most needed. Analysing 300k papers revealed stark disparities in global health research distribution - 43% of clinical trials occur in low/middle-income countries. Find out more: bit.ly/47RyL2L
Introducing our first @acceleratescience.bsky.social Winter School for AI for UK undergraduates!🎉 📍University of Cambridge 🗓️13-16 Jan 2026 🤖 LLM workshops 💻 HPC access 🤝 Career insights, networking and mentoring Find out more and apply by 21 Nov, 5pm: science.ai.cam.ac.uk/news/2025-10...
Interested to find out more about research taking place in AI for Science? 🔬 Join us over pizza for our second @acceleratescience.bsky.social Lunchtime Seminar this term on 24 Nov, 12 - 1pm in Room SS03, William Gates Building! Register to attend for free: science.ai.cam.ac.uk/events/accel...
New AI clinic slots available to book in November and December! 🗓️ Open to all @cam.ac.uk PhD students, researchers and staff, our clinic offers free expert advice on any AI and machine learning questions. Book a slot: training.cam.ac.uk/apsci/search
Thank you to everyone who joined our Introduction to Diffusion Models in Generative AI workshop last week! 🤖 Are you based at @cam.ac.uk and interested to develop practical machine learning skills for research? Sign up for an upcoming workshop: training.cam.ac.uk/apsci/search
📢 New blog! FTorch software from @iccscambridge.bsky.social couples PyTorch ML to Fortran models and is now used globally in climate, weather and fusion research. A September workshop with 40 researchers explored hybrid modelling challenges. Find out more: bit.ly/48FYxsM
Interested to find out more about research taking place in AI for Science? Join us over pizza🍕for our first @acceleratescience.bsky.social Lunchtime Seminar this term, Mon 27 October, 12pm - 1pm in Room SS03, William Gates Building! Register to attend for free: science.ai.cam.ac.uk/events/accel...
Excited to share details of our AI Café on 20 October organised with @cruk-ci.bsky.social! 🔬 Want to find out more about how AI is being used in cancer research? Join us to hear talks from researchers & discuss with an AI expert. Those new to AI are very welcome to attend! Sign up: bit.ly/3KNwc9N
📢 New blog! @charlesemogor.bsky.social uses machine learning to enhance anti-poaching across sub-Saharan Africa. Working with @anil.recoil.org, @fletcherecology.bsky.social and @milindtambe-ai.bsky.social, he is developing models to help rangers patrol effectively. Find out more: bit.ly/4mMs3Av
We are thrilled to be attending the Cambridge Wearables Innovation Forum Launch today at Pembroke College, Cambridge! 🚀 @dynamicbrain.bsky.social We look forward to chatting with attendees about how to use machine learning and AI to power scientific research on wearable health tech.
📢Booking is now open for our training courses next term! Courses are open to all PhD students and staff at the University of Cambridge @cam.ac.uk, sign up now to develop your AI skills and apply them in your research. Find out more and book: science.ai.cam.ac.uk/events
📢 New blog! Isaac Sebenius, who recently completed his PhD @psychiatry-ucam.bsky.social developed MIND with supervisors @sarahmorganuk.bsky.social and Professor Ed Bullmore - a machine learning method transforming MRI brain scans into biologically validated networks. Find out more: bit.ly/4gccUXm
New AI clinic slots available to book on 9 and 10 September! 🗓️ Open to all PhD students and researchers, our clinic offers free expert advice on any AI and machine learning questions. Book a slot: science.ai.cam.ac.uk/events
📢 New blog! Find out how Richard Diehl Martinez, a PhD student from @cst.cam.ac.uk used funding from @acceleratescience.bsky.social to develop Pico - an open-source framework with less than 500 lines of Python code that democratises AI model training for researchers. Find out more: bit.ly/41Pkv8f