Machine Learning for String Field Theory and for the String- and F-Theory landscapes

Project description

Artificial intelligence could help reduce the computational complexity of string theory

Fields of science

• natural sciences › physical sciences › theoretical physics › particle physics
• natural sciences › physical sciences › theoretical physics › string theory
• natural sciences › mathematics › pure mathematics › geometry
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2019 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2019

See other projects for this call

Funding Scheme

MSCA-IF-GF - Global Fellowships

Coordinator

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

Net EU contribution

€ 275 619,84

Address

Rue Leblanc 25
75015 Paris 15
France

Region

Ile-de-France › Ile-de-France › Paris

Activity type

Research Organisations

Links

Other funding

€ 275 619,84

Partners (1)

Partner

Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

United States

Net EU contribution

€ 0,00

Address

Massachusetts Avenue 77
02139 Cambridge

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00