Events

Forthcoming events

This page lists C2D3 events, University events, as well as related external conferences and events of interest to our members.

C2D3 Computational Biology Annual Symposium 2024
C2D3 event

C2D3 Computational Biology Annual Symposium 2024

Wednesday, 15 May 2024, 9.45am to 5.00pm

We warmly invite you to the C2D3 Computational Biology Annual Symposium 2024!

This event is open to everyone in the Computational Biology Community.

University of Cambridge event

Core Statistics using R (In person)

Monday, 13 May 2024, 9.30am to Wednesday, 15 May 2024, 5.00pm

This award winning course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

West Hub AI Café
University of Cambridge event

West Hub AI Café

Monday, 20 May 2024, 2.00pm to 5.00pm

Details: Are you using AI methods in your research, or considering doing so? Would you like to meet other researchers exploring the challenges and possibilities of deploying AI in research?

AI4ER Annual Showcase
University of Cambridge event

AI4ER and Environmental Intelligence CDT Joint Showcase 2024

Tuesday, 21 May 2024, 12.15pm to 6.30pm

AI4ER Annual Showcase Event - 21 May 2024

7th Cambridge International Conference on Machine Learning and AI in (Bio)Chemical Engineering
University of Cambridge event

7th Cambridge International Conference on Machine Learning and AI in (Bio)Chemical Engineering

Tuesday, 2 July 2024, 10.00am to Wednesday, 3 July 2024, 5.00pm

02-03 July 2024
Main conference In person-only event

Paleo workshop
C2D3 event

AI and Statistical Innovations for Palaeoecological Research - 5 day event

Monday, 8 July 2024, 9.00am to Friday, 12 July 2024, 5.00pm

Co-organisers: Dr. J. Andrés Christen (CIMAT), Dr. Maarten Blaauw (Queen's University Belfast), Dr. Joan-Albert Sánchez-Cabeza (UNAM), Dr. Ana Carolina Ruiz Fernández (UNAM) and Dr. Lysanna Anderson (USGS)

Welcome to the PaleoStats Workshop: AI and Statistical Innovations for Palaeoecological Research

Forthcoming talks

A collation of interesting data science talks from across the University.

When will we have intelligent robots?

Tuesday, 7 May 2024, 4.00pm to 5.00pm
Speaker: Professor Jitendra Malik, Berkeley
Venue: Department of Engineering - LR4

Deep learning has resulted in remarkable breakthroughs in fields such as speech recognition, computer vision, natural language processing, and protein structure prediction. Robotics has proved to be much more challenging as there are no pre-existing repositories of behavior to draw upon; rather the robot has to learn from its own trial and error in its own specific body, and it has to generalize and adapt. I believe that the most promising approach for this is to train robot skills in simulation and then transfer them to the real world. I will show multiple examples of skills - legged locomotion (quadruped and humanoid), navigation, and dexterous manipulation such as in-hand rotation and twisting caps off bottles - acquired in this paradigm. Along the way, we developed “Rapid Motor Adaptation”, a method for adaptive control in the framework of deep reinforcement learning. Looking to the future, I believe that there are multiple insights from the development of motor skills in children that are relevant to robotics; I will sketch some examples and partial results. While we are many years away from having robots with the skills of a five year old, progress in the last few years has been remarkable and substantial.

Measuring avian species abundance with bioacoustics and machine learning

Tuesday, 7 May 2024, 5.00pm to 6.00pm
Speaker: Ruari Marshall Hawkes - Dept of Zoology, University of Cambridge
Venue: Drum Building, Madingley Rise Site, West Cambridge and on zoom: https://zoom.us/j/6708259482?pwd=Qk03U3hxZWNJZUZpT2pVZnFtU2RRUT09

Abstract not available

Unifying the mechanisms of the hippocampal and prefrontal cognitive maps

Wednesday, 8 May 2024, 1.15pm to 2.15pm
Speaker: James Whittington, Sir Henry Wellcome Postdoctoral Fellow, Stanford University & Oxford University
Venue: CBL Seminar Room, Engineering Department, 4th floor Baker building

Cognitive maps have emerged as leading candidates, both conceptually and neurally, for explaining how brains seamlessly generalize structured knowledge across apparently different scenarios. Two brain systems are implicated in cognitive mapping: the hippocampal formation and the prefrontal cortex. Neural activity in these brain regions, however, differs during the same task, indicating that the regions have different mechanisms for cognitive mapping. In this talk, we first provide a mechanistic understanding of how the hippocampal and prefrontal systems could build cognitive maps (with the hippocampal mechanism related to transformers and the prefrontal mechanism related to RNNs/SSMs); second, we demonstrate how these two mechanisms explain a wealth of neural data in both brain regions; and lastly, we prove that the two different mechanisms are, in fact, mathematically equivalent.

Statistics Clinic Easter 2024 II

Wednesday, 8 May 2024, 5.30pm to 7.00pm
Speaker: MR5 at the CMS
Venue: MR5

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.

If you would like to participate, please sign up as we will not be able to offer a consultation otherwise. Please sign up through the following link: https://forms.gle/q1cxmWP2jzw99XPw6. Sign-up is possible from May 2 midday until May 6 midday or until we reach full capacity, whichever is earlier. If you successfully signed up, we will confirm your appointment by May 8 midday.

Title to be confirmed

Thursday, 9 May 2024, 12.00pm to 1.00pm
Speaker: Nouha Dziri, Allen Institute for AI
Venue: https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09

Abstract not available

View all talks...