Chemists and materials scientists join the quest for neuromorphic circuits
The human brain has long served as a model to the IT world, which has tried to duplicate its functions through networks based on silicon materials. A more recent focus has been on alternatives to silicon that would imitate neural network learning, offering speed, flexibility and reliability without being cost-prohibitive. MANIC project will train 15 early stage researchers to experiment with new materials, bringing in chemists and materials scientists to work on the quest for neuromorphic circuits. They will work on materials that will accelerate technological advances towards computing platforms that work efficiently and flexibly without high energy demands just like the human brain.
Field of science
- /natural sciences/computer and information sciences/artificial intelligence/computational intelligence
Call for proposal
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Funding SchemeMSCA-ITN-ETN - European Training Networks
WC1E 6BT London