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Events and Talks

 

In AI, Machine Learning and Data Science across the University and beyond.

Events

Artificial Intelligence admitting the possibilities of error Uni of Cambridge
Uncertainty in Machine Learning: Challenges and Opportunities External
SAS Life Sciences Analytics Summer School, July 22-23 July
Cambridge Ellis Unit Summer School on Probabilistic Machine Learning 2025 Uni of Cambridge
AI for Science Research Showcase Uni of Cambridge
The AI Con: In Conversation with Professor Emily M. Bender
London Data Week 2025 External
8th Machine Learning & AI in Bio(Chemical) Engineering Conference Uni of Cambridge
Neuroscience AI cafe Uni of Cambridge
Online Social Data School: June 2025 Uni of Cambridge
Seminar Series: AI and the Digital Uni of Cambridge
Working on HPC clusters (online live training) C2D3 event
ai@cam AI Sciencepreneurship bootcamp Uni of Cambridge
AI Workflows for Literary Studies: Bridging Close and Distant Reading through Josephine Miles’ Eras and Modes in English Poetry (1957) Uni of Cambridge
CHIA Annual Conference: Shaping the Future of AI Uni of Cambridge
Data for Policy 2025 Conference – Europe Edition External
Erlangen AI Hub Conference 2025 External
Training Workshop: LLM Hands on Workshop Uni of Cambridge
AI in Women's Health: Bridging Research and Patient Voices External
Edge AI Workshop with Qualcomm Technologies Uni of Cambridge
Training Workshop: AI & Large Language Models Uni of Cambridge
Language Models and Intelligent Agentic Systems C2D3 event
AI and human embryos Uni of Cambridge
Cambridge ELLIS Seminar Series Uni of Cambridge
Turing event: Pint of Science 2025 External
Exploring Interdisciplinary Frontiers C2D3 event
AI workshop series: Packaging and Publishing Python Code for Research Uni of Cambridge
AI workshop series: LLMs Hands On workshop Uni of Cambridge
Cambridge Enterprise: Ideas to Reality Programme Uni of Cambridge
AI workshop series: An Introduction to Diffusion Models in Generative AI Uni of Cambridge
Cambridge Multimodal Imaging Neuroscience Data hackathon Uni of Cambridge
An Introduction to Docker Uni of Cambridge
AI Cafe at CMS. Uni of Cambridge
AI workshop series: Hands On AI workshop Uni of Cambridge
AI workshop series: LLMs Hands On workshop Uni of Cambridge
AI workshop series: AI and Large Language Models Uni of Cambridge
AI for Bibliographical Record Creation: Hopes and Anxieties Uni of Cambridge
AI workshop series: Generative AI Uni of Cambridge
The AI Patent Revolution: Accelerating Entrepreneurs : Member's event External
AI for Researchers: A Beginners’ Guide Uni of Cambridge
Cambridge Enterprise: Consultancy 101 Uni of Cambridge
Cambridge Enterprise: Research Tools 101 Uni of Cambridge
AI Café: AI and Education Uni of Cambridge
Good Practices for Reproducible Open Source Code Uni of Cambridge
Accelerate Programme for Scientific Discovery – Lent Term workshops in AI for Science
Accelerate Programme for Scientific Discovery – Lent Term workshops in AI for Science Uni of Cambridge
AI and Education Initiative Launch- Introductory Session Uni of Cambridge
Centre for Human-Inspired AI (CHIA): Early Career Conference 2025 Uni of Cambridge
First Steps in Coding with R Uni of Cambridge
Cambridge Social Data School Q&A Uni of Cambridge

Talks

Upcoming related talks from talks@cam

Date Title Speaker Abstract
Statistics Clinic Summer 2026 III

This free event is open only to members of the University of Cambridge (and affiliated institutes). Please be aware that we are unable to offer consultations outside clinic hours.


GSA Capital: Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided
Title to be confirmed Danae Sanchez Villegas (University of Copenhagen)


Understanding Multimodal Reasoning Beyond Final Answers Danae Sanchez Villegas (University of Copenhagen)


Title to be confirmed Speaker to be confirmed

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Some catering will be provided
BSU Seminar: "Using variability in longitudinally-measured variables as a predictor of health outcomes" Professor Michael Elliott, University of Michigan School of Public Health

Longitudinal data has become a major part of the landscape for clinical and epidemiological research. While variance is typically understood as nuisance – the “noise” in “signal-to-noise” – there is increasing evidence that underlying variability in subject-level measures over time may also be important in predicting future health outcomes of interest.
Bending Spoons: Title to be confirmed Speaker to be confirmed

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Jane Street: Title to be confirmed Speaker to be confirmed

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