Horizon Europe Cluster 4: Advancing Digital, Industry, and Space Technologies for a Sustainable Future, (from page 20231209.)
External link
Keywords
- Horizon Europe
- digital industry
- data technologies
- AI
- Green Deal
- research funding
- robotics
- cloud computing
- photonics
Themes
- Horizon Europe
- digital technologies
- artificial intelligence
- European Green Deal
- funding
Other
- Category: science
- Type: news
Summary
Horizon Europe Cluster 4 aims to foster competitive technologies in the digital, industry, and space sectors, focusing on data and computing technologies, AI, and the European Green Deal. The EU has allocated 85 million euros to promote AI research and develop unbiased AI systems, alongside investments in IoT and edge computing technologies. An additional 206 million euros will be directed towards enhancing digital competitiveness while supporting Green Deal objectives, including 60 million euros for AI and robotics in resource management. Furthermore, 76 million euros will be invested in projects integrating AI, data, and robotics into various industries. The remaining 70 million euros will support cloud-to-edge server development and advancements in semiconductor and quantum sensing technologies. Interested parties can apply for funding by March 19, 2024, with support available for proposal development.
Signals
| name |
description |
change |
10-year |
driving-force |
relevancy |
| Investment in AI-driven Data Operations |
EU allocates funds to create bias-free AI systems and services. |
From traditional data practices to innovative, bias-free AI-driven operations. |
AI systems will be more reliable and equitable, enhancing decision-making across industries. |
The need for fairness and transparency in AI applications drives this change. |
4 |
| Integration of Robotics in Industries |
Funding supports projects for robots to perform non-repetitive tasks in diverse settings. |
Transition from manual labor to robotic assistance in complex tasks. |
Robots will be commonplace in various industries, enhancing efficiency and safety. |
The demand for efficiency and precision in industries fuels robotic integration. |
5 |
| Focus on Green Deal-Compatible Technologies |
Research funding aligns digital technologies with the European Green Deal objectives. |
Shift towards sustainable technologies that support environmental goals. |
Technological advancements will significantly reduce industrial environmental impact. |
Commitment to sustainability and climate change mitigation drives this focus. |
5 |
| Development of Cloud-to-Edge Computing Architecture |
Investment in cloud-to-edge servers to support open cloud initiatives. |
Move from centralized data processing to decentralized cloud-edge computing. |
Enhanced data processing capabilities will enable real-time analytics and responsiveness. |
Growing need for efficient data processing solutions drives this architectural shift. |
4 |
| Photonics Innovation Factory Establishment |
Funding for a facility to accelerate photonics technology adoption in industries. |
From limited use of photonics to widespread industrial application. |
Photonics will revolutionize communication networks, enhancing connectivity and speed. |
The demand for faster and more efficient communication technologies drives this initiative. |
3 |
Concerns
| name |
description |
relevancy |
| Bias in AI Systems |
Concerns over AI systems and services being free from bias, which can lead to inequitable outcomes for users. |
4 |
| Dependence on Data Technologies |
Potential over-reliance on data and computing technologies for critical industrial processes may lead to vulnerabilities. |
3 |
| Integration Challenges for Robotics |
Integrating robots in various industries may face obstacles, including labor displacement and operational disruptions. |
4 |
| Environmental Impact of Technologies |
Ensuring that emerging technologies align with environmental objectives of the Green Deal poses risks if not managed properly. |
4 |
| Cybersecurity Risks |
Increased reliance on AI and data could expose industries to cyber threats and data breaches. |
5 |
| Market Readiness of Quantum Technologies |
Quantum sensing technologies may face challenges in achieving market readiness, delaying potential advancements. |
3 |
| Open-source Sustainability |
Sustaining contributions and collaboration in open-source software and hardware could be challenging amidst competitive pressures. |
3 |
Behaviors
| name |
description |
relevancy |
| AI-Driven Innovation |
Promoting research in AI technologies to create unbiased systems and services through substantial funding. |
5 |
| Integration of Robotics in Industries |
Investments aimed at enabling robots to perform non-repetitive tasks and promoting their integration across various sectors. |
4 |
| Green Deal Alignment |
Research focused on AI and data solutions that support energy and resource management aligned with the European Green Deal. |
5 |
| Cloud-to-Edge Computing Development |
Establishing a comprehensive architecture for open cloud and edge computing to enhance data processing capabilities. |
4 |
| Photonics Technologies Advancement |
Funding initiatives aimed at enhancing communication networks through photonics and establishing innovation factories. |
4 |
| Open-Source Contributions Recognition |
Creating annual awards to recognize contributions to open-source software and hardware in Europe. |
3 |
Technologies
| description |
relevancy |
src |
| Advancements aimed at creating unbiased AI systems and services through AI-driven data operations. |
5 |
274a9d87be7f508c7f636326ab796992 |
| Large-scale pilot projects supporting IoT platforms for various applications and industries. |
4 |
274a9d87be7f508c7f636326ab796992 |
| Technologies that bring computation and data storage closer to the location where it is needed. |
4 |
274a9d87be7f508c7f636326ab796992 |
| Integration of robots in industries to perform non-repetitive tasks and enhance productivity. |
4 |
274a9d87be7f508c7f636326ab796992 |
| Technologies aimed at enhancing communication networks and enabling photonics innovation in industries. |
3 |
274a9d87be7f508c7f636326ab796992 |
| Development of servers to support a comprehensive European open cloud and edge computing architecture. |
4 |
274a9d87be7f508c7f636326ab796992 |
| Advancements in technologies to prepare quantum sensing for market applications. |
4 |
274a9d87be7f508c7f636326ab796992 |
| Research on integrating 2D materials to enhance semiconductor technologies. |
3 |
274a9d87be7f508c7f636326ab796992 |
Issues
| name |
description |
relevancy |
| AI and Data Bias Mitigation |
Investment in AI-driven data operations focused on creating unbiased systems and services is critical for future AI advancements. |
5 |
| Integration of Robotics in Industries |
Research aimed at enabling robots to perform non-repetitive tasks signals a shift towards more integrated robotics in everyday settings and industries. |
4 |
| Photonics Technologies Adoption |
Establishment of a photonics innovation factory indicates a growing importance of photonics in enhancing communication networks and industry applications. |
4 |
| Cloud-to-Edge Computing Architecture |
Development of cloud-to-edge servers aims to create a comprehensive open cloud architecture, crucial for future digital infrastructures. |
5 |
| Quantum Sensing Technologies |
Advancements in quantum sensing technologies suggest an emerging market potential and applications across various sectors. |
4 |
| Sustainable Innovation in Alignment with Green Deal |
Research projects aligning AI and data solutions with the Green Deal goals highlight an increasing relevance of sustainable innovation. |
4 |