C8 Artificial Intelligence

Objective of Proposal Idea:
We are looking for European partners to join our CELTIC-NEXT proposal “INTELLIINVEST”, a mission-driven initiative aiming to reduce financial information asymmetry and democratize access to smart investment tools for everyone—regardless of experience level or financial literacy. What’s the Problem? In today’s financial markets, large investors have access to personalized advice, advanced analytics, and expert consultants—while small and mid-level investors often navigate markets with fragmented tools and limited information. This information gap leads to poor decisions, missed opportunities, and growing inequality in financial outcomes. -Our Vision: INTELLIINVEST will build a user-centric investment platform that brings the power of institutional-grade insights to[...]

Objective of Proposal Idea:
Qidni Labs is developing a portable, nearly waterless dialysis system powered by a proprietary sorbent-based cartridge. Traditional dialysis consumes up to 500 liters of water per treatment, making it one of the most resource-intensive therapies worldwide. Our cartridge reduces water use by more than 90 percent, enabling treatment outside traditional infrastructure and making dialysis both sustainable and accessible. This project aims to co-develop and scale next-generation cartridges with advanced materials, sorbents, and membranes, while also integrating a remote monitoring platform and AI-based predictive analytics. The digital system will track device performance, anticipate cartridge exhaustion or component failure, and allow clinicians[...]

Objective of Proposal Idea:
The rapid development of AI, including emerging AI devices, AI applications and services, is driving the need for an AI-native architecture that integrates intelligence into network functions, procedures and operations. This proposal explores next-generation system architecture to support the needs emerging AI agents - intelligent systems capable of real-time decision-making, adaptive learning, and human-like interaction. By embedding AI agents directly into the communication infrastructure, this approach enhances efficiency, autonomy, and user experience across various domains, from human-machine collaboration to autonomous network planning and design. Unlike conventional AI-driven optimizations, a native AI-based network architecture treats AI as an intrinsic component rather[...]

Objective of Proposal Idea:
This project focuses on creating and testing a cutting-edge Open RAN platform built for future 6G networks. We will target the emerging “cm-wave” frequency ranges (6–8 GHz and 14–15 GHz) to demonstrate how next-generation wireless solutions can deliver ultra-fast data rates, low latency, and advanced features like joint communication and sensing (JCAS). On the hardware side, we aim to design high-performance radio front ends—power amplifiers, antennas, and filters—that are both efficient and adaptable to new bands. We will also explore “gigantic” MIMO configurations to boost capacity and coverage. On the software and algorithm side, we plan to incorporate sophisticated AI/ML techniques (implemented[...]

Objective of Proposal Idea:
Developing innovative solutions within the telecommunication domain is becoming increasingly challenging, particularly for AI and machine learning-based approaches. A major hurdle is the lack of access to realistic data. There is not only a scarcity of publicly available, large-scale, and realistic telecom network data, but telecom operators also face significant limitations in utilizing their data due to privacy and security regulations. This project aims to overcome these barriers by creating synthetic yet realistic telecom traffic data using a Generative Adversarial Network (GAN) approach. Our goal as H3M and Turkcell is to develop a live sandbox platform that telecom operators can[...]

Objective of Proposal Idea:
Trustworthy Artificial Intelligence, digital twins, programmable networks, metaverse and augmented reality and the required data processing will only happen in a trustworthy manner if the systems running the software and processing the data are themselves trustworthy. Technologies such as trusted and confidential computing, cloud orchestration and the whole range of machine learning and data processing technologies all must be properly integrated such that the system as a whole can provide a trustworthy platform that the users and developers can depend upon. Providing for trust acrosss a system comprising of many individual pieces of hardware and software, scattered from centralised systems[...]

Objective of Proposal Idea:
AI4SMB energy fitness provides a detailed, real time insight into household energy consumption. Based on learned appliance and user behaviour AI4SMB energy fitness makes recommendations to reduce consumption and energy cost. BUSINESS VALUES  Deep insights into consumption patterns of your client base  Direct channel and customer engagement END USER VALUES  Comprehensive energy management solution for home or office  Reduces energy consumption and energy cost, can help to make better use of renewable energy sources

Objective of Proposal Idea:
Road vehicles are getting automated however, this is based on basic following/tracking algorithms and not on the human behaviour. Human (driver) behaviours are not usually considered real-time during the control units’ development. The development to be made here will arise to a medium of transforming knowledge and experience into a product. The product will be a human-centred real-time library. Increased level of Smart Green Systems Increased level of vehicle safety Increased level of vehicle comfort

Objective of Proposal Idea:
In order to achieve environmental friendly public transport, the way to go at the time are electric busses. Many obstacles must be tackled before the operations can be switched to those alternative drives. We combine research approaches from classic traffic research with advanced machine learning techniques to achieve optimal transport networks for electric busses. We invite any public tranport provider interested in switching to emsission-free operations to take part in our research pursuit.

Objective of Proposal Idea:
Offshore wind farms (OWFs) are complex dynamic systems that depend on atmospheric conditions for energy generation and system operation & maintenance (O&M). In order to undertake effective O&M actions it is necessary to determine weather windows that enable accessibility to the farm. In this context, an updated health estimation of wind turbines is crucial to reduce costs and increase reliability. However, the OWF energy production is surrounded by uncertainties, such as wind speed, sea conditions, as well as the degradation process and interactions between electrical and mechanical components. Hence, remote and online condition monitoring and runtime maintenance planning are vital[...]