Harnessing the computing power of the human brain
Today’s use of AI and machine learning is becoming ever more prevalent in crucial areas like healthcare, finance, autonomous vehicles and speech recognition. However, enormous investments in the field’s present approaches to machine learning and neuromorphic computing have serious limits, requiring ever-growing computing power and high energy demands. To achieve a breakthrough in this field, the EU-funded NEU-ChiP project will study how human brain stem cells grown on a microchip can be taught to solve problems from data. Using sophisticated 3D computer modelling, an interdisciplinary consortium will conduct an observation of processes of cells’ changes and their plasticity to enable a major change in machine learning technology.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- medical and health sciencesmedical biotechnologycells technologiesstem cells
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
Call for proposalSee other projects for this call
Funding SchemeRIA - Research and Innovation action
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
LE11 3TU Loughborough