An Emerging Field: Neuromorphic Computing

Gurleen Deol

December 2023

Neuromorphic computing, although a fancy-sounding term, is a simple concept: create technology inspired by the brain (Model 1). The impossible-sounding idea was theorized by Caltech Professor Carver Mead in 1981 and has since inspired projects such as the computerized chip being formatted to function similarly to neuroglia (brain cells) with the concept of “learning” material. One of the biggest benefits of such structures is how much software storage can be saved, not to mention its incredible speed for low-latency decision-making compared to other computing models. Neuromorphic computing is quickly making the computer technology and hardware industry evolve, and the time for the biological and technical communities to merge is now.

Model 1: Similar models of neural networks are modeled into a computer chip. (SpringerLink)

However, a moral dilemma with this concept arises: Is it ethical for technology to mimic humankind independently? The idea has made many skeptics claim that, along with Artificial Intelligence, neuromorphic computing could further job displacement for blue-collar workers, possibly putting the middle class itself at risk. However, Benjamin Lin, a senior at the Medical Engineering Technology Academy, disagrees. “The biggest pro of neuromorphic computing is that it can learn like us, because of us; the only way it functions is by using processes that the human brain occasionally utilizes for basic tasks.” Furthermore, Lin says that “neuromorphic computing is unable to copy emotional thought, which still makes middle-class vital in the workplace, with neuromorphic aiding with the computer science portion of many jobs only.”

Aside from computer chip development, neuromorphic computing has also inspired another research development: VLSI Technology. In simple terms, VLSI technology is the ability for several devices to be on one chip, which can further save on storage space. These developments could effectively decrease the size of technology to a fraction of the original size, making such technology work faster in the process. Additionally, creating technology that mimics humankind has been shown to aid individuals with disabilities, anxiety disorders, and the like, by using more comfortable and ‘safe-feeling’ environments. Teaching technology to “learn” instead of using repetitive data like AI makes the tech industry incorporate different sects of the STEM world, and create new opportunities for growth today.