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End of term social
It is hard to believe that we are already reaching the end of another term at UCL. Since October we have welcomed 13 new students had PhD submissions, congratulated new Drs and seen a significant number of students have their work accepted for some of the most prestigious conferences in the field of artificial intelligence and machine learning!
Demis Hassabis talk at UCL
On Wednesday 29th November, UCL Events hosted Demis Hassabis to give the UCL Prize Lecture 2023 on his work at Google DeepMind, a company that he founded after completing his PhD at UCL.
The FAICDT Visit UCL East!
On Wednesday 15th November, members of all cohorts within the FAICDT visited our Robotics labs at the newly opened UCL East Campus. Prof Dimitrios Kanoulas very kindly offered up his time and expertise in showing our students around both the Marshgate and Pool Street Labs.
The UKRI Inter CDT Conference 30-31 October 2023
For the second year running, the UKRI CDT in Foundational AI, collaborated with the University of Bath and the University of Bristol to organise an inter CDT conference at the Bristol Hotel.
This year our CDT put on a session on AI Vision, organised with Prof Lourdes de Agapito, and a student-led session on the Threat of AI, organised with Reuben Adams and Robert Kirk.
Student presentation – Alex Hawkins Hooker at ISMB
In July of 2023, our Cohort 2 student Alex Hawkins-Hooker presented his work at the Machine Learning in Computational and Systems Biology Track at ISMB, which is one of the leading computational biology conferences.
“Safe Trajectory Sampling in Model-based Reinforcement Learning for Robotic Systems” By Sicelukwanda Zwane
In the exciting realm of Model-based Reinforcement Learning (MBRL), researchers are constantly pushing the boundaries of what robots can learn to achieve when given access to an internal model of the environment. One key challenge in this field is ensuring that robots can perform tasks safely and reliably, especially in situations where they lack prior data or knowledge about the environment. That’s where the work of Sicelukwanda Zwane comes into play.
Background
Student-Led Workshop – Distance-based Methods in Machine Learning – Review by Masha Naslidnyk
We are delighted to announce the successful conclusion of our recent workshop on Distance-based Methods in Machine Learning.
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