Objective
Cyber violence is an increasingly growing concern among children and adolescents. Number of children admitted to hospitals for attempted suicide or expressing suicidal thoughts doubled between 2008 and 2015 - much of the rise is linked to an increase in cyberbullying. Problem conerns also adults - EU estimates that 1 in 10 women have experienced some form of cyber violence. Online violence causes a massive outflow of portal and game users - more than 20% of players left the game due to cyberbullying and 35.8% of women quit playing temporarily because of sexism. These kinds of actions results in a significant reduction of revenues for entities in the industry. Therefore, the health and economic implications of cyber violence provide a compelling multimillion business opportunity. Fido has developed a game-changing Samurai system, artificial intelligence solution dedicated to real-time, automated prevention of online violence in text communication, based on a novel patent. The recent studies show that that our technology detects the most violence and raises false alarms four times less often than the current solutions.
Fido main customers are game industry players, communication/education platforms and social media. During the first 5 years of commercialisation of Samurai we expect to generate EUR12,7 m in turnover and hire additional 18 workers.
Fido Voice is a high-tech Polish SME, supported by business angels, specialising in artificial intelligence and natural language understanding. Our technology was recognised as one of the 100 most promising artificial intelligence solutions in the world (Top 100 AI CBInsights 2017). The founders of Fido were chosen one of Top 100 Innovators Group awarded by Google and Financial Times.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence
- social sciences political sciences political transitions terrorism
- social sciences sociology social issues social inequalities gender inequality
- social sciences economics and business business and management innovation management
- social sciences sociology ideologies
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
81-824 Sopot
Poland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.