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Spin Glasses, Learning, and Optimisation in High Dimension

CORDIS · observation · Publication date unknown

Spin Glasses, Learning, and Optimisation in High Dimension "This project aims at tackling problems in statistical mechanics, with a primary focus on spin glasses, followed by an exploration of machine learning related questions. Spin glasses, initially studied in the 1980s using non-rigorous methods by theoretical physicists, revealed complex behaviours which were previously unknown: They conjectured that the phenomenon they depicted should be present in many more models such as neuronal networks. From a mathematical perspective, spin glasses are disordered systems where each ""spin"" can be seen as a random variable, interacting with others through a network of complex, often conflicting, interactions. Recent recognition in the field, with Giorgio Parisi winning the Nobel Prize in 2021 and Michel Talagrand receiving the Abel Prize in 2024, highlights the importance of spin glass studies. However, many questions remain unanswered, particularly regarding the mixed SherringtonKirkpatrick model: the phase transition between the high and the low-temperature regime is not known rig

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recordType

award

status

SIGNED

region

EU

value

242260.56

unit

EUR