Numberphile LIVE: How Many Pikachus Would It Take To Power A Lightbulb? 

Saturday 21st November, 6:30pm, Oxford Natural History Museum

Featuring talks from Brady Haran, James Grime, Ben Sparks - and hosted by Tim Harford. 

First Friday @11 is here! These sessions are likely to be most relevant for first year undergraduates, but all are welcome!

A course on Singular Learning Theory, exploring its applications in machine learning and mathematical AI alignment.

The course covers the mathematical foundations of SLT and touches on recent developments in how its tools are used in alignment research. The core focus is the role of degeneracies and singularities in governing the behaviour and training dynamics of neural networks. By the end of the course you will be familiar with:

 Advantage in the Age of AI -  Gil Eyal (Engineer, Economist, Entrepreneur & Researcher, Tel Aviv University)

Physics-Grounded Learning of AI Agents for Designing Vaccine Reactors

Human-in-the-Loop Decision-Making for Lipid Nanoparticle Reactor Design

Join us at the University of Oxford for a CS50x Puzzle Day in collaboration with Oxford Lifelong Learning, with Professor David J. Malan from Harvard, Professor Daniel Wilson from Oxford, Dr Nicholas Day from Oxford, and Dr Tom Crawford from Oxford (and Cambridge and Tom Rocks Maths).

TimeTrace Labs is building edge-native world models for real-time state decoding from motion. We spun out of the University of Oxford last year with support from Oxford University Innovation. We provide the verification layer between intent and reality: continuously understanding what a physical system is actually doing at the sensor level. 

Join us this Friday at 4 pm for an open and thought-provoking panel discussion exploring these and many other questions about the future of mathematics & AI.

How will AI transform mathematical research?

How might the relationship between mathematicians and AI evolve?

What opportunities could AI create for the next generation of mathematicians?

How can students embrace AI tools while developing their own mathematical independence, intuition and technical expertise?

Panelists