Novel Memristors to Overcome AI’s “Catastrophic Forgetting”
They consume extremely little power and behave similarly to brain cells: so-called memristors. Researchers from Jülich and Helmholtz Information, led by Ilia Valov, have ...
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New Material Paves the Way to On-Chip Energy Harvesting
Researchers from Germany, Italy, and the UK have achieved a major advance in the development of materials suitable for on-chip energy harvesting. By composing ...
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Neuromorphic computing in the spotlight
From June 3rd to 6th, international researchers and those interested in the fields of computational neuroscience and artificial intelligence will meet at the International ...
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Inspired by nature
They could be the key to addressing the energy demands of Artificial Intelligence (AI): neuro-inspired computer chips modeled after the human brain. Researchers at ...
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Research factory for quantum and neuromorphic computing: Germany-wide cooperation “FMD-QNC” launched
In order to bundle and expand the existing microelectronic research and development in Germany with regard to quantum and neuromorphic computing, FMD started a ...
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“Advanced Electronic Materials” Honours Prof. Rainer Waser as a Pioneer of Memristive Devices
With his scientific research, Prof. Rainer Waser has revitalised the field of memristive devices and pushed it further towards application. His findings lay the ...
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Faster than the Biological Model
Researchers at Forschungszentrum Jülich from the Helmholtz Research Field Information have simulated a neural network with 300 million synapses at an unprecedented level of ...
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Learning from the brain how to save energy
Scientists at Forschungszentrum Jülich from the Helmholtz Research Field Information and RWTH Aachen University, together with companies from the region, want to create a ...