Modern Challenges in Learning Theory

Project description

Advancing generealisation theory in machine learning

Machine learning (ML) is a buzzword in today’s technology world. From automatic friend tagging on social media apps and booking a cab online to online maps confirming that you are travelling on the ‘fastest route,’ ML is part of our daily life. The increase in ML applications involving private and sensitive data requires algorithms to protect that data. The EU-funded GENERALIZATION project will work on specifying the amount of data needed to facilitate private machine learning. The answers will advance the field in terms of efficiency, reliability and applicability. The project’s work combines ideas from various areas in computer science and mathematics.

Fields of science

• engineering and technology › mechanical engineering › vehicle engineering › automotive engineering › autonomous vehicles
• natural sciences › mathematics
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• HORIZON.1.1 - European Research Council (ERC) Main Programme

Topic(s)

• ERC-2021-STG - ERC STARTING GRANTS

Call for proposal

ERC-2021-STG

See other projects for this call

Funding Scheme

HORIZON-AG - HORIZON Action Grant Budget-Based

Coordinator

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY

Net EU contribution

€ 1 433 750,00

Address

Senate Building Technion City
32000 Haifa
Israel

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00