SELMA builds a continuous deep learning multilingual media platform using extreme analytics. Large amounts of multilingual text and speech data are available in the internet, but the potential to fully take advantage of this data has remained largely untapped. Recent advances in deep learning and transfer learning have opened the door to new possibilities – in particular integrating knowledge from these large unannotated datasets into plugable models for tackling machine learning tasks. The aim of the Stream Learning for Multilingual Knowledge Transfer (SELMA) is to address three tasks: ingest large amounts of data and continuously train machine learning models for several natural language tasks; monitor these data streams using such models to improve multilingual Media Monitoring (use case 1); and improve the task of multilingual News Content Production (use case 2), thereby closing the loop between content monitoring and production. SELMA has eight goals: 1. Enable processing of massive video and text data streams in a distributed and scalable fashion 2. Develop new methods for training unsupervised deep learning language models in 30 languages 3. Enable knowledge transfer across tasks and languages, supporting low-resourced languages 4. Develop novel data analytics methods and visualizations to facilitate the media monitoring decision-making process 5. Develop an open-source platform to optimize multilingual content production in 30 languages 6. Fine-tune deep learning models from user feedback, reducing recurring errors 7. Ensure a sustainable exploitation of the SELMA platform 8. Encourage active user involvement in the platform. Achieving these aims requires advancing the state of the art in multiple technologies (transfer learning, language modelling, speech recognition, machine translation, summarization, speech synthesis, named entity linking, learning from user feedback), while building upon previous project results and existing services.

The ESPERANTO project aims at pushing speech processing technologies to their next step in order to enable the diffusion of these technologies in European SMEs and to maximize and securize their use in the civil society for forensic, health or education. The ESPERANTO consortium forsees that the next generation of artificial intelligence algorithms for speech processing should : 1. be more accessible : via a larger number of spoken languages, and for applications where resources are strongly limited (health, education, robotics…); 2. integrate a human in the loop to guaranty a higher usability and ease of deployment and maintenance; 3. be explainable in order to enable sensitive applications related to forensic or health and contribute to personal data preservation by detecting and characterizing existing biases due to the data-driven nature of current speech technologies. ESPERANTO intends to lead the scientific community by releasing evaluation metrics, protocols and standards that will boost the development and evaluation of this new generation of algorithms. To achieve this ambitious goal, the ESPERANTO project gathers a large and trans-sectorial community of experts in speech related applications such as speech transcription, separation, enhancement, translation, understanding and speaker recognition and diarization to transfer knowledge, organize, produce and standardize resources with the aim of catalyzing and cross-pollenizing this area. The main goals of the ESPERANTO project are: - support the development of open-source tools that will encourage fast developement, exchanges and reproducibility; - produce tutorials and competitive baselines on various topics of speech processing in order to boost the fostering of new speech-AI students, researchers and engineers; - facilitate the collection and sharing of linguistic and speech resources through standards; - organize workshops to progress on the speech technologies and favor tranfer of knowledge.

The goal of Olive-Net project is to introduce a novel approach for the exploration, valorization and marketing of new products based on bioactive compounds from Olea europaea. This will be achieved through an extended and well-balanced scheme of researcher’s secondments between universities and enterprises from EU & Associated countries as well as universities from Third countries. A mutual scientific project developed on the needs and interests of both sectors exploiting the existing expertise will be the base of this proposal. Products and side-products of the olive tree such as olive oil, edible olive fruits, olive mill waste and olive tree leaves, will be subjected to a series of state-of-the-art extraction and isolation cascades in order to provide extracts, enriched fractions and isolated compounds of high purity. Target chemical categories will involve the well known olive oil polyphenols and secoiridoids, that will be assessed for their safety and pharmacological effects against inflammation, osteoarthritis, cardiovascular disease, etc. in cell-based and in vivo assays. All active ingredients will be identified and characterized with advanced analytical techniques, in order to be integrated in formulations and products in the area of nutraceuticals/dietary supplements. Within this project, core scientific multidisciplinary knowledge from different research areas will be integrated creating valuable synergies. Expertise will be transferred by means of the seconded researchers training in environments with different research orientation where complimentary skills are required. Special attention will be given to dissemination activities aiming to public awareness of benefits of healthy diet(s). Olive-Net aspires to create a successful model promoting considerably researchers’ competences and long-lasting collaboration between Industry and Academia.

According to the Charter of the European Geoparks Network adopted in Greece the 5th June of 2000, a European Geopark “is a territory which includes a particular geological heritage and a sustainable territorial development strategy supported by a European programme to promote development. […]”.These territories have been labelled regarding their geological, cultural and ecological heritage - since the early 2000s this Label knows a growing success among European countries, particularly in the West (France, Germany, Italy, Spain). In 2013, 54 European Geoparks received the precious label. This international recognition by UNESCO attracts Southern countries to implement development strategies in line with the recommendations of good-practices management oriented by international organizations. Indeed, UNESCO takes into account a plurality of selective criteria such as a remarkable heritage (geology, archaeology, biodiversity, cultural), citizen participation, sustainable regional economic development plan, heritage and socio-economic values for local populations, etc. to proceed to the inscription process. It is based on an integrated and sustainable management & conservation strategy of natural and cultural heritage from an interdisciplinary approach (Humanities and Life & Earth Sciences) in consultation with local stakeholders (local communities, universities and civil society). Currently, there is no “Geopark methodology” adapted to the South. Thus, the GEOPARK project aims to study potential and compared areas (EU/Africa) with remarkable geological, ecological, social and cultural heritage. One located in Central Catalunia (Spain) and the other in the Zat Valley (Morocco) - Marrakech. Endowed with varied skills in Humanities and Life and Earth Sciences, GEOPARK project partners (public, private) propose to study biodiversity, geology, prehistory, social aspects, heritage, tourism as a geopark based on empirical surveys, field collecting data and shared experience.

The ED-ARCHMAT (European Doctorate in Archaeological and Cultural Heritage Materials Science) EJD aims to train a new generation of creative and entrepreneurial ESR able to face current and future challenges in Archaeological/Cultural Heritage protection and management and to convert knowledge and ideas into products and services for economic and social benefit. The study, management and optimization of Archaeological and CH sites and objects is a sector with a strong multidisciplinary connotation. Accordingly the ED-ARCHMAT international consortium includes HEI, SME, Museums, Conservations Labs (such as the GCI in LA), and IT/Business Schools and proposes a coherent joint doctoral program aiming at overcoming national, sectoral and inter-disciplinary boundaries in PhD research in the field of Archaeometry/Conservation Science. The ED-ARCHMAT EJD will have a strong ESR mobility component, with the final goal of leading to lasting PhD-level cooperation between beneficiaries and partners. The EJD will also strengthen the transmission and exploitation of knowledge and enhance the innovation process in the general CH area where the increasing development of more sophisticated chemical and physical analytical techniques and of ICT have highlighted the existence of a knowledge gap that needs to be filled. The successful ED-ARCHMAT ESR will acquire innovative skills and key competence spanning across the Humanities, Materials Science, Business and Management fields, acquiring the professional figure of Conservation Scientist 1) Conservation science ; 2) Development of Diagnostic and Monitoring tools; 3) New Conservation Materials and Methods: characterization of artifacts degradation mechanisms, performance evaluation of new materials, decision making techniques, 4) Equipments : skills in the utilization of different instrumentations, 5) Energy efficient and sustainable solutions for CH materials; 6) Management and entrepreneurship in Cultural Heritage