THIRDWAVE · Third wave of AI: Neuro-symbolic AI and Large Language Models
„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“
- Период
- 2025-11-01 → 2029-10-31
- Финансиране от ЕС
- 1 803 600 €
- Участници
- 18
- Схема
- HORIZON-TMA-MSCA-SE
Линиите свързват координатора с партньорите.
Накратко на български
Невро-символното изкуствен интелект комбинира големи езикови модели със структурирани знания, за да намали грешките при вземане на решения в здравеопазването и образованието. Това помага системите да станат по-надеждни, прозрачни и точни при работа с реални данни.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Цел на проекта
Artificial Intelligence (AI) is transforming research, industry, and society, with Large Language Models (LLMs) playing a central role. While LLMs excel in natural language understanding, reasoning, and content generation, they also exhibit hallucinations, security vulnerabilities, ethical concerns, and regulatory issues. These challenges are particularly critical in healthcare and education, where accuracy, reliability, and fairness are essential. Addressing these shortcomings requires AI paradigms that enhance interpretability, robustness, and compliance.THIRDWAVE aims to establish an international, interdisciplinary network to advance LLM-driven neuro-symbolic AI, integrating symbolic AI with LLMs to create interpretable, reliable, and domain-aware systems. This approach enables AI to leverage structured knowledge, improve decision-making, and comply with domain-specific constraints, making it more applicable to real-world challenges.The project is structured around four key objectives: O1) Understanding LLMs: Analyzing capabilities and limitations to improve performance, usability, and trustworthiness. O2) Enhancing LLMs: Improving fairness, factual accuracy, and robustness through external knowledge sources and human collaboration. O3) Advancing LLM-driven Neuro-Symbolic AI: Developing hybrid systems that combine LLMs with symbolic reasoning for structured knowledge representation and better decision support. O4) Use Cases & Evaluation: Applying LLM-driven neuro-symbolic AI in healthcare, education, geodata, and food information engineering, validating scalability and societal impact.By fostering collaboration among AI researchers, domain experts, and industry partners, THIRDWAVE will bridge the gap between data-driven and knowledge-driven AI, ensuring LLMs become interpretable, ethically aligned, and domain-aware. The project’s findings will inform AI regulation, advance research, and drive innovation, contributing to responsible AI development.
Оригинален текст от CORDIS (на английски).
Участници
- GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER · HannoverКоординаторГермания
- BABELSCAPE SRL · RomaИталия
- ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON · ATHINAГърция
- EXPERT SYSTEM IBERIA SL · MADRIDИспания
- HELVIA TECHNOLOGIES AE · ATHINAГърция
- Hanoi University of Science, Vietnam National University Hanoi · HanoiВиетнам
- INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR · KharagpurИндия
- KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY · ThuwalСаудитска Арабия
- LEEDS BECKETT UNIVERSITY · LeedsОбединеното кралство
- SERVICIO MADRILENO DE SALUD · MADRIDИспания
- TECHNISCHE INFORMATIONSBIBLIOTHEK (TIB) · HannoverГермания
- THE PENNSYLVANIA STATE UNIVERSITY · University ParkСъединени щати
- THE TRUSTEES OF INDIANA UNIVERSITY · BloomingtonСъединени щати
- UNIVERSIDAD POLITECNICA DE MADRID · MadridИспания
- UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA · RomaИталия
- UNIVERSITA TA MALTA · MSIDAМалта
- UNIVERSITE DE YAOUNDE I · YAOUNDEКамерун
- UNIVERSITY OF CAPE TOWN · RondeboschЮжна Африка
Връзки
Данни: CORDIS, © Европейски съюз