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AI-DAPT is a forty two-month EU project that aims to bring forward a data-centric mentality in AI, that is effectively fused with a model-centric, science-guided approach, across the complete lifecycle of AI-Ops. It introduces end-to-end automation and AI-based systematic methods to support the design, the execution, the observability and the lifecycle management of robust, intelligent and scalable data-AI pipelines that continuously learn and adapt based on their context.
AI-DAPT will design a novel AI- Ops / intelligent pipeline lifecycle framework cross-cutting the different business, legal/ethics, data, AI logic/models, and system requirements while always ensuring a human-in-the-loop (HITL) approach across five axis:
1. Data Design for AI
2. Data Nurturning for AI
3. Data Generation for AI
4. Model Delivery for AI
5. Data-Model Optimization for AI
AI-DAPT will contribute to advance the state-of-the-art techniques and technologies across a number of research paths, including sophisticated Explainable AI (XAI)-driven data operations (from purposing, harvesting/mining, exploration, cleaning, augmentation, bias detection, etc.), collaborative feature engineering, minimizing the data where appropriate, and adaptive AI for model retraining purposes.
Overall, AI-DAPT aims at reinstating the pure data-related work in its rightful place in AI and at reinforcing the generalizability, reliability, trustworthiness and fairness of Al solutions.
In order to demonstrate the actual innovation and added value that can be derived through the AI-DAPT scientific advancements, the AI-DAPT results will be validated in two, interlinked axes:
A. Through their actual application to address real-life problems in four (4) representative industries: Health, Robotics, Energy, and Manufacturing;
B. Through their integration in different AI solutions, either open source or commercial, that are currently available in the market.
Company Details
- Address
- Real-Life Problems In Four (4) Representative Industries: Health
- Industry
- Research Services
Ai-Dapt Eu Project Questions
AI-DAPT EU Project's LinkedIn profile is https://www.linkedin.com/company/ai-dapt
AI-DAPT EU Project's industry is
Research Services
AI-DAPT EU Project's top competitors are
Ai Ethics & Governance Oslo,
Suite5 Data Intelligence Solutions,
Ai Ethics And Policy Think Tank (Aieptt),
Humaine Project,
Manolo Project,
Centre For Human-Centred Ai Ethics,
Ai Empathy Research,
Aidapt Ab,
Extra-Brain,
Ai Redgio 5.0.
AI-DAPT EU Project's categories are Research Services
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