Research Paves the Way for Honey-Based Neuromorphic Computing

Researchers at Washington State University have built a proof-of-concept device that includes one of the crucial circuits for neuromorphic computing - the memristor - built out of an unlikely medium: honey. The researchers hope their research paves the way for biodegradable, sustainable, organic-based computing systems that are orders of magnitude more efficient than conventional computing architectures.

To build the device, the researchers processed true, bee-sourced honey into a solid form held between two metal electrodes, much like how your brain's synapses lie between pairs of neurons. The device was then tested for its ability to quickly switch on and off at speeds ranging between their biological counterparts' 100 and 500 nanoseconds - and it succeeded.

"This is a very small device with a simple structure, but it has very similar functionalities to a human neuron,” said Feng Zhao, associate professor of WSU’s School of Engineering and Computer Science, in the announcement. "This means if we can integrate millions or billions of these honey memristors together, then they can be made into a neuromorphic system that functions much like a human brain."

illustration for a Von Neumann-design computing architecture

Von Neumann-based architectures are the basis of modern computing systems. (Image credit: Kaphoot via Wikipedia)

The physical distance that separates the computing elements from storage incurs in both performance and power efficiency penalties. These only increase the farther that data has to be fetched, which is one of the reasons for the development of in-CPU caches (of which AMD's 3D V-Cache stands as an apt example) that aim to reduce the distance between the storage and computing elements.

While the researchers pored over numerous organic materials as candidates for the memristor design, such as proteins, sugars and other organic compounds, honey presented the most promising characteristics.

"Honey does not spoil," Zhao said. "It has a very low moisture concentration, so bacteria cannot survive in it. This means these computer chips will be very stable and reliable for a very long time."

Another important element of potential honey-based neuromorphic systems is their extreme biodegradability, which would help in cutting tons of electronic waste deriving from obsolete or defective silicon-based electronics.

"When we want to dispose of devices using computer chips made of honey, we can easily dissolve them in water," Zhao continued. "Because of these special properties, honey is very useful for creating renewable and biodegradable neuromorphic systems." This poses challenges not only for those of us who are unfortunate enough to make spilling coffee over electronics a personal sport, but also for the eventual deployability of these solutions in less controllable environments.

There's still work to be done on the honey-based memristor approach, however. One of the next research goals is to further miniaturize the computing element. While the current design stands at a micro-scale (about the size of a human hair), the team aims to bring its relative size down to nanoscale (around 1/1,000 smaller). There's no circumventing this scaling requirement: only at the nanoscale will devices be able to hold millions and even billions of these computing elements, the amount deemed necessary for useful neuromorphic systems.

As promising as the research is, it could eventually be impacted by the increasingly endangered worldwide bee population. But then again, we'd likely be facing much tougher challenges than the loss of capability to deploy honey-based neuromorphic computing systems.

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Francisco Pires
Freelance News Writer

Francisco Pires is a freelance news writer for Tom's Hardware with a soft side for quantum computing.

  • Endymio
    ".... based on the Von Neumann design, a computational architecture proposed in 1945 by its homonymous creator."

    The word you want there is "eponymous", Pires.
    Reply
  • SaladBoo
    Does this affect laptops as well?
    Reply
  • Friesiansam
    The key to the power of the human brain, is the way each individual neuron is directly linked to thousands of others. It is surely going to be a long time before such a degree of interconnection, can be replicated artificially.
    Reply