University of Cambridge > Talks.cam > Darwin College Science Seminars > What Connects Us All? From Fibers to Graphs to Neurons

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

What Connects Us All? From Fibers to Graphs to Neurons

Download to your calendar using vCal

If you have a question about this talk, please contact Alexander R Epstein .

Every time you send a message or watch a video online, your data travels through a vast network of cables spanning cities and continents. Using artificial intelligence and graph theory, we examine the underlying patterns of these networks so we can optimally design, scale and manage them.

In this talk, we’ll explore three questions: How can we map and understand the physical shape of the internet? Can we predict where new cable connections between cities should go and how much data they’ll carry? And more importantly, can we teach machines to design entirely new networks in any region or country? We build and integrate domain-specific databases and machine learning models to answer these questions. Our framework transforms network design from a manual art to an automated science.

This talk is part of the Darwin College Science Seminars series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Teaching Room, Oldham Hall, Lucy Cavendish College Webinar & LT2, Computer Laboratory, William Gates Building. McGrath Centre, St Catharine's College, Cambridge.

Other talks

Computation of free boundary minimal surfaces via extremal Steklov eigenvalues Online Causal Inference Seminar Using A Function-Centric Lens to Re-consider Regularisation, Representation Transfer and Geometric Properties of Neural Networks The Neurophenomenology of Surrender: Agency, Renewal, and Social Engagement in Speaking in Tongues Quantum graphs with a time asymmetry: spectral optimization and spectral statistics Pancreatic cancer - the clinical challenge;  Why the microenvironment matters during pancreatic cancer progression and treatment
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity