These are the projects selected
Application Track projects 5
AIEDJ
AIEDJ
AI Empathic DJ App
Application Track Project
Vision
Expand on existing AI software for audio and music and adapt it to each listener’s perspective on music so that the AI learns and adapts to different musical tastes.
CIMA
CIMA
Next-Gen Collaborative Intelligence for Media Authentication
AdVerif.ai
Israel
Vision
Develop a next-generation intelligence platform to make a collaborative collection of evidence for media authentication easier and faster. The platform will adopt cutting-edge AI methods from cyber-security to the media domain, empowering fact-checkers and journalists to be more effective.
CUHE
CUHE
An explainable recommender system for holistic exploration and CUration of media HEritage collections
IN2 Digital Innovations GmbH
Germany
Vision
Develop and demonstrate a web-based application based on AI recommendations that will allow cultural heritage professionals as well as (humanities) researchers to explore existing media and cultural heritage digital collections in a more holistic way and allow them to curate new galleries or create digital stories and exhibitions which can showcase and share the new insights gained.
InPreVI
InPreVI
Inauthentic web traffic Prediction in Video marketing campaigns for investment optimization
JOT Internet Media
Spain
Vision
Develop an innovative AI-based system, using the existing JOT-owned video web traffic data to (1) identify the main behavioural patterns of inauthentic users to predict their actions and limit their impact on the video marketing campaigns and (2) model the quality score associated with a campaign.
VRES
VRES
Varia Research
Varia UG
Germany
Vision
Bring AI power to the frontlines of the media industry, to the journalists. While journalistic research processes today are highly fragmented and based on workarounds, Varia Research will be the first holistic application that gives all central research activities a common home.
Research Track projects 5
edgeAI4UAV
edgeAI4UAV
Computer Vision and AI Algorithms Edge Computation on UAVs
lnternational Hellenic University
Greece
Vision
Develop an edge computation node for UAVs equipped with lightweight active computer vision and AI (deep learning) algorithms capable of detecting and tracking moving objects, while at the same time will ensure robust UAV localization and reactive navigation behavior.
NeurAdapt
NeurAdapt
Development of a Bio-inspired, resource efficient design approach for designing Deep Learning models
Irida Labs
Greece
Vision
Deliver a framework, where established techniques such as channel gating, channel attention and calibrated dropout, are synthesized in order to formulate a building block of and novel methodology for designing CNN models.
RobaCOFI
RobaCOFI
Robust and adaptable comment filtering
Institut Jozef Stefan
Eslovenia
Vision
Develop new methods to bypass the problem of filtering and moderating comments and make the initial implementation process easy and fast; develop methods for semi-automatic annotation of data, including new variants of active learning in which the AI tools can quickly select the data they need to be labeled.
SMAITE
SMAITE
Preventing the Spread of Misinformation with AI-generated Text Explanations
University of Manchester
United Kingdom
Vision
Develop a fact verification system underpinned by deep learning based, generative language models that will generate explanations that meet the identified requirements.
TRACES
TRACES
AuTomatic Recognition of humAn-written and deepfake-generated text disinformation in soCial mEdia for a low-reSourced language
Sofia University “St. Kliment Ohridski”, GATE Institute
Bulgaria
Vision
Provide solutions to the problem of fake content and disinformation spread worldwide and across Europe, and the detection of deep fakes, by creating methods and resources for detecting both human and deepfake disinformation in social media for low-resourced languages.
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