ERCIM and JST (Japan Science and Technology Agency) are organizing the first joint Symposium on Big Data and Artificial Intelligence on 18-19 February 2021. The online symposium aims to present recent results of research conducted in the context of the JST Crest programme as well as relevant research results from European institutions. The meeting will provide the opportunity to participants from Japan and Europe to familiarize themselves with recent research results and consider collaboration prospects that will arise in the context of the Horizon Europe framework programme or relevant initiatives from JST.
Participation is free but limited, registration is required. For more information and registration form is available on the Symposium web page
The GATEKEEPER project, in which ERCIM is a partner, has launched a first Open Call offering an opportunity for research institutes, SMEs, Midcaps and industry with competencies in the Big Data and AI domains to apply for projects. The available budget is 600.000€ for ten projects with a duration of one year.
Stefano Cresci has been selected from among 13 excellent short-listed nominees as the winner of the 2020 ERCIM Cor Baayen Award. Stefano, from CNR, Italy, has received the award in recognition of the outstanding scientific quality of his research and the impact on science and society that he has already achieved as a young researcher.
ERCIM is pleased to invite you to the Final Conference of the BOOST 4.0 project "Boost 4.0 Big Data and Industrial Data Space Large Scale Piloting for Digital Smart Factories" to be celebrated virtually on the 10th of December. Register online https://boost40.eu/final-conference/
In this final conference, some of the most relevant digital players and factories in the area of Industry 4.0 will present the results of the largest big data trials in the sector. Key leading experts on a broad spectrum of areas related to Industry 4.0 will provide their insights, best practices and lessons learned on how bid data technologies, AI and digital manufacturing platforms have helped companies such as VW or Whirlpool to revert long periods (25% of the time) and large warehouse overstocks (up to 20%).