Scientists at Intel have built the world's largest neuromorphic computer, or one designed and structured to mimic the human brain. The company hopes it will support future artificial intelligence research.
Related: China develops new light-based chiplet that could power artificial general intelligence — where AI is smarter than humans How neuromorphic computing worksNeuromorphic computing differs from conventional computing because of its architecture, Prasanna Date, a computer scientist with the Oak Ridge National Laboratory , wrote on ResearchGate. These types of computers use neural networks to build the machine.
In neuromorphic computing, however, a"spike input" — a set of discrete electrical signals — is fed into the spiking neural networks , represented by the processors. Where software-based neural networks are a collection of machine learning algorithms arranged to mimic the human brain, SNNs are a physical embodiment of how that information is transmitted. It allows for parallel processing and spike outputs are measured following calculations.
Neuromorphic computing is still a developing field, with few other machines like Hala Point in deployment, if any. Researchers with the International Centre for Neuromorphic Systems at Western Sydney University in Australia, however, announced plans to deploy a similar machine in December 2023.—New DNA-infused computer chip can perform calculations and make future AI models far more efficient
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