Library FAQ
What are the expected outcomes and how will the Generative-AI project portfolio be composed?
Expected outcomes include next-generation models for cancer diagnosis and treatment, improved patient care, cost reductions, a shared database of synthetic images, benchmarking of agents, innovative clinical pathways, external cross-validation, and MDR/AI-Act...
What is explicitly out of scope for the construction Challenge?
On-site 3D-printing of cementitious materials or polymers as a primary construction task is outside the scope of this Challenge.
What is the aim of the Challenge on climate smart crops and high value plant ingredients?
To support development of climate smart crops and production of high value native and non-native plant ingredients in a cost-effective and environmentally friendly manner, improving sustainability, efficiency, biodiversity and resilience of the European food s...
What is the aim of the Pathfinder Challenge on autonomous robot collectives for construction?
To develop breakthrough technologies for autonomous collaborative on-site construction robots enabling an integrated, designed-for-robotics digital production and assembly chain, addressing site preparation, substructure and superstructure tasks and their coor...
What is the goal of the Generative-AI based Agents to Revolutionize Medical Diagnosis and Treatment of Cancer Pathfinder Challenge?
To create interactive GenAI autonomous agents (or a super-agent) that provide clinicians with a holistic end-to-end perspective of patient care across the clinical pathway to enhance pattern identification, reduce diagnostic inconsistencies and errors, and imp...
What performance, validation and ethical/regulatory requirements apply to the AI models?
Projects should use appropriate performance metrics with accurately quantified uncertainties, conduct proof-of-concept studies in controlled settings comparing to current clinical practice, enhance model interpretability, and ensure compliance with the EU conc...
What principles will be used to select the portfolio of projects for the crops Challenge?
Selection principles include synergy between projects (common components), balanced representation of native and non-native ingredients, balanced representation of conventional and New Genomic Techniques (NGTs), diverse crop types with European geographic cove...
What restriction applies to applications involving the evolution of European communication networks?
Applications with elements concerning the evolution of European communication networks (5G, post-5G and related technologies) will be subject to restriction for the protection of European communication networks (see Annex II – Section B1).
What scale and validation expectations are specified for construction demonstrations?
Technologies are expected to be demonstrated at least at a relevant human scale in volume, mass and moment of inertia and ideally at larger real-world architectural scale, include virtual simulation of disassembled/intermediate/final states, and provide docume...
What specific objectives must each funded construction project deliver?
Each project must deliver: (1) a simplified structural, load-bearing material-robot building system to assemble a representative structure and demonstrate TRL4 validation in a laboratory environment; (2) an autonomous mobile multi-robotic collaborative platfor...
What types of data should GenAI algorithms integrate?
Multidimensional and multimodal data from multiple imaging modalities (MRI, CT, PET, X-ray), clinical data (EHRs, lab results, structured and unstructured clinical data, pathology), genetics and –omics data, videos, knowledge databases and other resources to p...
What waste streams and objectives does the Waste-to-value devices Challenge target?
It focuses on turning problematic waste streams into feedstocks for a circular economy, specifically targeting non- or hard-to-recycle synthetic polymer materials (including mixed plastics, polymeric composites, micro-/nanoplastics, untreated plastic waste, di...
Which cancer types can proposals focus on in the Generative-AI Challenge?
Each proposal must focus on one (and only one) of the following: breast cancer, cervical cancer, ovarian cancer, prostate cancer, lung cancer, brain cancer, stomach cancer or colorectal cancer.
Which technologies and enablers are within scope for the Waste-to-value Challenge and which are out of scope?
In scope are low-TRL technologies where portfolio synergies are expected: solar reforming and synthetic biology devices, brine mining and integrated capture-and-conversion technologies, microbial-based and photocatalytic remediation; computational material sci...
Will projects in the crops Challenge collaborate on common monitoring and assessment work?
Yes; all projects will participate in a work package dedicated to developing monitoring and prediction methodologies for climate adaptation assessment and life-cycle-analysis.
How are AI methods applied in brain interface platforms?
AI-based methods are used to decode complex neural dynamics, identify pathological patterns, and adjust stimulation strategies in real time to enable responsive closed-loop systems.
How could brain interfaces matter for Europe’s resilience and strategic autonomy?
By enabling safe deployment within healthcare systems, reducing reliance on specialised neurosurgical infrastructure, supporting distributed care models, and requiring European control over neurodata governance, clinical validation, and ethical standards.
How could ULF MRI contribute to Europe’s resilience and strategic autonomy?
By reducing reliance on cryogenic superconducting magnets and large fixed infrastructure, aligning with EU priorities on technology sovereignty and security of supply, and leveraging European strengths in quantum sensing, medical devices, and AI-based reconstr...
How does ULF MRI differ from conventional high-field MRI?
ULF MRI avoids cryogenically cooled superconducting magnets and very homogeneous high fields, operating at much lower field strengths with simplified, mobile hardware and different engineering trade-offs for field inhomogeneity and signal-to-noise ratio.
How was the qualitative assessment stage conducted and what were its outcomes?
Nine expert panels aligned with the EIC taxonomy, coordinated by EIC Programme Managers and 25 external experts, reviewed 411 signals from the quantitative stage and selected a final set of 25 signals based primarily on scientific and technological novelty and...
What are noninvasive and minimally invasive brain interfaces?
Technologies that interact with neural activity without highly invasive neurosurgery, combining neural sensing and stimulation to monitor and modulate brain activity in real time; minimally invasive variants use miniature implants with autonomous power and wir...
What are the main challenges remaining for ULF MRI?
Integrating miniaturised quantum sensors, establishing robust low-field biomarkers, and validating standardised acquisition and reconstruction pipelines for routine clinical use.
What did the quantitative stage involve and what data sources were used?
A quantitative review of over 13,380 EIC proposals (2021 Q2–2025 Q1), using advanced text mining and clustering via JRC Tools for Innovation Monitoring (TIM) and GPT@JRC, supplemented by scientometric indicators including EPO PATSTAT, SCOPUS, and CORDIS data.
What distinguishes minimally invasive brain interface variants?
They use miniature implants with autonomous power and wireless communication to enable more precise targeting while preserving limited invasiveness and reduced procedural burden.