Funded Projects

Important note: the projects below are recommended for funding to the national research funding organisations of CHIST-ERA by the Call Steering Committee of CHIST-ERA. The actual funding of the projects depends on the successful completion of contracts negotiation at the national level.

Context-aware and Veracious Big Data Analytics for Industrial IoT

Industry’s transition to the digital world has already reaped benefits such as fully automated processes and cost savings and has paved the way for novel services and business models.  However, the challenges of data-driven autonomous and context-aware systems that enable the automated processes in industry have not been fully addressed. ABIDI project contributes to the automated industrial processes with the development of a framework for context-aware and veracious big data analytics with automated knowledge discovery and reasoning for industrial IoT. Our goals are building reliable industrial IoT networks,...

Big data and process modelling for smart industry (BDSI) (2017)


Autonomic Software Engineering for online cultural experiences

1) Context: This project is about exploiting the predominance of social networking using autonomic software agents to enrich, encourage and enliven engagement with online cultural artefacts such as from a museum or a gallery. With the current problems in the European financial debt, many cultural institutions are planning to shorten the length that visitors can physically enter. In the UK for example we have heard of plans that the British Museum will close earlier and possibly shut down completely for one day a week because of the massive cuts in funding that were presented in the UK Chancellors speech...

Beyond Autonomic Systems - the Challenge of Consciousness (BASCC) (2010)

Adaptive Automated Scientific Laboratory

Our proposal integrates the scientific method with 21st century automation technology, with the goal of making scientific discovery more efficient (cheaper, faster, better). A Robot Scientist is a physically implemented laboratory automation system that exploits techniques from the field of artificial intelligence to execute cycles of scientific experimentation. Our vision is that within 10 years many scientific discoveries will be made by teams of human and robot scientists, and that such collaborations between human and robot scientists will produce scientific knowledge more efficiently than either could alone...

Adaptive Machines in Complex Environments (AMCE) (2013)


Analogue Intelligent chip for short and middle range Radar signal processing

The AIR project targets at a reconfigurable and programmable integrated circuit based on analogue neural network for analysis of the short and middle range radar (24GHz/60GHz) system for new applications in remote and privacy-preserving monitoring of vital signs (heartbeat, respiration). The project will also develop and publicly release the evaluation kit (scenarios, metrics, protocols, datasets) to objectively evaluate the performance of the developed analogue and digital artificial intelligence (AI) systems featuring movement detection methods. The project constitutes a holistic approach to assessment of...

Analog Computing for Artificial Intelligence (ACAI) (2018)

Autonomous Lifelong learnIng intelLigent Systems

Standard machine learning systems require massive data and huge processing infrastructures, but the main limitation to their spreading comes from the need of the empirical and rare knowledge of an experienced data scientist able to set and adjust their behavior over time. The ALLIES project will lay the foundation for development of autonomous intelligent systems sustaining their performance across time. Such unsupervised system will be able to auto-update and perform self-evaluation to be aware of the evolution of its own knowledge acquisition. It should adapt to a changing environment by following a given...

Lifelong Learning for Intelligent Systems (LLIS) (2016)

Autonomous Learning of the Meaning of Objects

The goal of ALOOF is to enable robots to tap into the ever-growing amount of knowledge available on the Web, by learning from there about the meaning of previously unseen objects, expressed in a form that makes them applicable when acting in situated environments. By searching the Web, robots will be able to learn about new objects, their specific properties, where they might be stored and so forth. To achieve this, robots need a mechanism for translating between the representations used in their real-world experience and those on the Web. We propose a meta-modal representation, composed of meta-modal entities...

Adaptive Machines in Complex Environments (AMCE) (2013)

Access Multilingual Information opinionS

With the growth of the information in different media such as TV programs or internet, a new issue arises. How a user can access to the information which is expressed in a foreign language? The idea of the project is to develop a multilingual help system of understanding without any human being intervention. What we would like to do, is to help people understanding broadcasting news, presented in a foreign language and to compare it to the corresponding one available in the mother tongue of the user. The concept of understanding is approached in this project by giving access to any information whatever the...

Human Language Understanding: Grounding Language Learning (HLU) (2014)

Analog PROcessing of bioinspired Vision Sensors for 3D reconstruction

APROVIS3D project targets analog computing for artificial intelligence in the form of Spiking Neural Networks (SNNs) on a mixed analog and digital architecture. The project includes including field programmable analog array (FPAA) and SpiNNaker applied to a stereopsis system dedicated to coastal surveillance using an aerial robot. Computer vision systems widely rely on artificial intelligence and especially neural network based machine learning, which recently gained huge visibility. The training stage for deep convolutional neural networks is both time and energy consuming. In contrast, the human brain has the...

Analog Computing for Artificial Intelligence (ACAI) (2018)