LQ placeholderRepairable as an alternative to robust

Repairable as an alternative to robust

Developing a new approach to resilience in which mistakes and unexpected events are mitigated by easy repairs rather than redundancy.

The London Institute for Mathematical Sciences is a private academic institute for curiosity-driven research.

hiring
News

We’re hiring postdocs

We’re hiring Postdoctoral Research Fellows in the theory of cell programming from the fields of physics, mathematics or machine learning.

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Perspective

Viral DARPA

Britain is perfectly placed to replicate the DARPA miracle, but it will need to embody the qualities that have made the agency exceptional.

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Papers

Deep layered machines

The ability of deep neural networks to generalize can be unraveled using path integral methods to compute their typical Boolean functions.

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Papers

A fix for overfitting

Statistical methods that normally fail for very high-dimensional data can be rescued via mathematical tools from statistical physics.

Where we publish

Classical and Quantum Gravity
Discrete Mathematics
EPL
Journal of Physics A
Journal of Statistical Physics
MIT Sloan Management Review
Nature Communications
Nature Physics
New Journal of Physics
Nature Quantum Information
Science Advances
Physical Review B
Physical Review E
Physical Review Letters
Physical Review Materials
Proceedings of the National Academy of Sciences
Proceedings of the Royal Society A
Research Policy
Journal of Chemical Physics
Transactions of the American Mathematical Society

Who's funding us

Adtones
Boston  Consulting Group
BCG Henderson Institute
Cancer Research UK
Centre for  Defence Enterprise
Defence Advanced  Research Projects Agency
Defence Threat  Reduction Agency
European  Innovation Council
Framework Programme 7
Garfield Weston  Foundation
Horizon 2020
Invenia Labs
LIMS Ventures
Medical Research Council
Office of  Naval Research
Pilgrim Trust
Porter Foundation
Rose Foundation
Edward Harvist Trust
European Commission  Migration and Home Affairs