\
&
Contact us
Published on | 2 years ago
ProgrammesThe purpose of the Large AI Grand Challenge is to foster the development of large-scale AI models in Europe and to substantially increase the visibility of Europe’s activity in this field.
The competition will reward innovative startups and SMEs for devising ambitious strategies and making commitments to develop large-scale AI models that will provide a competitive edge for Europe.
The expected outcome of the Large AI Grand Challenge is the selection of up to four proposals that will receive each up to 250 k€ in funding to create innovative foundational language models that will outperform state-of-the-art systems in a number of relevant tasks. The development of these models should necessarily involve the use of High-Performance Computing (HPC). The submission deadline is 16 January 2024.
To be eligible to apply to the Large AI Grand Challenge, applicants must meet the four following criteria:
Full information can be found on the call website.
Extra: there is an info session on 12 December.
We offer news and event updates, covering all domains and topics of Horizon Europe, Digital Europe & EDF (and occasionally, for ongoing projects, Horizon 2020).
Stay informed about what matters to you.
By signing up, you can opt in for e-mail notifications and get access to
a personalised dashboard that groups all news updates and event announcements in your domain(s).
Only for stakeholders located in Flanders
Digital, Industry & Space EIT Deployment: Best use of technologies
The Co-Creation Accelerator is a programme run by 28DIGITAL (formerly EIT Digital). It brings together start-ups and industry partners to co-develop solutions to real-world challenges, with a focus on: Validating core technology (TRL 4-5 and above) Strengthening problem-solution fit Reducing technical and market uncertainty Building a cle... read more
The City of Hasselt took part in the ONELAB project (2022–2025) as an end user. The project was funded under Horizon Europe (HORIZON-CL3-2021-DRS-01-05) and focused on developing modular Rapid Response Mobile Laboratories (RRML). These laboratories are designed for rapid deployment in a variety of settings to support disease monitoring.