Junior Professor, Dr Phillipp Pirro from the Technical University of Kaiserslautern (TUK), has been awarded a \u20ac1.5m ERC Starting Grant by the European Research Council (ERC) for the next five years, to develop neuromorphic computer technology.<\/p>\n
What is neuromorphic technology?<\/h3>\n
Neuromorphic computer technology is\u00a0essentially a method of computer engineering where the elements of a computer are modelled after systems in the human brain and nervous system.<\/p>\n
The brain has approximately 100 billion nerve cells, known as neurons, which are closely interconnected by synapses, and processes sensory impressions in fractions of a second. Researchers are using the brain as a model for neuromorphic computer technology.<\/p>\n
What potential issues will researchers face in developing this technology?<\/h3>\nThe complex connections required for this neuromorphic computer technology are limited by existing hardware. This new project intends to change this, with this aim in mind: information is to be transmitted with the help of magnons, the quantum particles of spin waves.<\/p>\n
Information in the brain is typically transmitted between neurons via synapses, which is extremely complex. Researchers have taken the brain as a model to construct particularly effective computers, known as neuromorphic computer technology. The artificial neurons are highly interconnected via artificial synapses.<\/p>\n
With the help of such computers, data processing should be significantly accelerated in the future, which is important<\/span>.<\/span> F<\/span>or example, <\/span>this could be applied to<\/span> autonomous driving or the recognition of patterns in complex databases.<\/span><\/span>\u00a0<\/span><\/p>\n
For this system to run smoothly, the technical design of the synaptic connections is crucial. “They are very complex, so it is difficult to realise them with conventional electronic circuits,” explained Dr Philipp Pirro, Junior Professor who conducts research in the field of magnetism at TUK.<\/p>\n
![\"Computer](\"https:\/\/www.innovationnewsnetwork.com\/wp-content\/uploads\/2022\/03\/Neuromorphic-Computer-Technology-1-scaled.jpg\")
Junior Professor Dr Philipp Pirro.
Credit: TUK\/View.<\/figcaption><\/figure>\nHow will scientists overcome this problem?<\/h3>\nTo overcome this issue, the research team are relying on spin waves, which are the collective excitations of spins in a magnetic material. Spin is the intrinsic angular momentum of a quantum particle, such as an electron or proton. It thus lays the foundation for magnetic phenomena.<\/p>\n
Scientists have noticed that utilising spin waves is interesting for application in neuromorphic computer technology, because their quantum<\/a> particles, and the magnons, can transport more information than electrons while consuming significantly less energy.<\/p>\n
To keep up to date with our content,\u00a0subscribe for updates<\/a>\u00a0on our digital publication and newsletter.<\/p>\n","protected":false},"excerpt":{"rendered":"
Credit: TUK\/View.<\/figcaption><\/figure>\n
How will scientists overcome this problem?<\/h3>\nTo overcome this issue, the research team are relying on spin waves, which are the collective excitations of spins in a magnetic material. Spin is the intrinsic angular momentum of a quantum particle, such as an electron or proton. It thus lays the foundation for magnetic phenomena.<\/p>\n
Scientists have noticed that utilising spin waves is interesting for application in neuromorphic computer technology, because their quantum<\/a> particles, and the magnons, can transport more information than electrons while consuming significantly less energy.<\/p>\n
To keep up to date with our content,\u00a0subscribe for updates<\/a>\u00a0on our digital publication and newsletter.<\/p>\n","protected":false},"excerpt":{"rendered":"