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
• social sciences › economics and business › business and management › commerce › eCommerce
• engineering and technology › electrical engineering, electronic engineering, information engineering › information engineering › telecommunications › mobile phones
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

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

Topic(s)

• EIC-SMEInst-2018-2020 - SME instrument

Call for proposal

H2020-EIC-SMEInst-2018-2020

See other projects for this call

Sub call

H2020-SMEInst-2018-2020-1

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

SHIMMERCAT AB

Net EU contribution

€ 50 000,00

Address

Hoppets Grand 24b
90334 Umea
Sweden

Region

Norra Sverige › Övre Norrland › Västerbottens län

Activity type

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

Links

Non-EU contribution

€ 21 429,00