Project description DEENESFRITPL Brain-like organic AI is on the horizon In our increasingly internet-connected world with its explosion of edge-connected devices, AI applications are skyrocketing – and so is the demand for ever greater functionality and energy. The French SME AnotherBrain has the answer: it is a new kind of AI – organic AI – that functions similarly to the human brain in certain ways, which makes it both much more powerful than other technologies and much more energy efficient. Although the new technology is self-learning, it is a sharp and fast learner that does not require Big Data to get the big picture. The potential applications are many, and the EU-funded APRICOT project is helping the team optimise the technology in a real application and prepare the road to commercialisation. Show the project objective Hide the project objective Objective The goal of APRICOT project is to accelerate the industrialisation and commercialisation of a disruptive artificial intelligence (AI) technology, that goes beyond the current mainstream of Deep Learning/Neural Networks. This new technology will have a world-scale impact in many domains as it will enable efficient, transparent and explainable, data preserving and GDPR compliant, controllable and adaptable AI-enhanced products and services in our everyday life. The technology is fully owned by the European start-up Another Brain.Almost all solutions proposed by current AI key players rely on artificial neural networks optimised through deep learning. Despite their significant improvement with respect to prior solutions, critical problems remain unsolved. Another Brain develops a New generation AI chip with a disruptive approach that solves these problems. Instead of considering the human brain at a neuron level, we replicate the brain’s behaviour on a more macroscopic level where large neuronal groups have a dedicated function. Perceived data is transformed into invariant semantic representations that are memorised in one size in associative memory without supervision. Learning is fast, incremental and continuous. Algorithms’ decisions are self-explanatory. The solution is easily customisable, low power, generic to all human senses and well suited to the automation of tasks performed by human beings.For the first applications, we will connect our chips to sensors creating smart modules able to understand the surrounding world in real-time. This addresses the needs of many markets, the automotive industry especially autonomous driving being our most important one. Our total addressable market will exceed €5billion in 3 years, with €2billion for the automotive segment. This project can contribute to meet many Horizon 2020 societal challenges from Health and Wellbeing to Secure Societies including Smart, Green and Integrated transport. Fields of science social sciencessociologyindustrial relationsautomationengineering and technologymechanical engineeringvehicle engineeringautomotive engineeringengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsnatural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learningnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Topic(s) EIC-SMEInst-2018-2020 - SME instrument Call for proposal H2020-EIC-SMEInst-2018-2020 See other projects for this call Sub call H2020-SMEInst-2018-2020-2 Funding Scheme SME-2 - SME instrument phase 2 Coordinator ANOTHER BRAIN Net EU contribution € 2 483 472,25 Address 14 BOULEVARD HAUSSMANN 75009 Paris France See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Ile-de-France Ile-de-France Paris Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 3 547 817,50
