Project description
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.
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 (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- social sciencessociologyindustrial relationsautomation
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
You need to log in or register to use this function
Programme(s)
Funding Scheme
SME-2 - SME instrument phase 2Coordinator
75009 Paris
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.