An automatic approach for creating faster websites using HTTP/2, machine learning, and AI

Project description

AI-based software to boost e-commerce website performance and loading times

Fields of science

• natural sciences › computer and information sciences › software
• natural sciences › computer and information sciences › artificial intelligence › machine learning
• social sciences › economics and business › business and management › commerce › e-commerce

Programme(s)

• H2020-EU.3. - PRIORITY 'Societal challenges
• H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
• H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies

Topic(s)

• EIC-SMEInst-2018-2020 - SME instrument

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

SHIMMERCAT AB

Address

Hoppets Grand 24B
90334 Umea
Sweden

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU contribution

€ 50 000