Close Menu
CrypThing
  • Directory
  • News
    • AI
    • Press Release
    • Altcoins
    • Memecoins
  • Analysis
  • Price Watch
  • Price Prediction
Facebook X (Twitter) Instagram Threads
CrypThingCrypThing
  • Directory
  • News
    • AI
    • Press Release
    • Altcoins
    • Memecoins
  • Analysis
  • Price Watch
  • Price Prediction
CrypThing
Home»AI»Scientists build artificial neurons that work like real ones
AI

Scientists build artificial neurons that work like real ones

adminBy adminOctober 14, 20253 Mins Read
Share Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link Bluesky Reddit Telegram WhatsApp Threads
Scientists build artificial neurons that work like real ones
Share
Facebook Twitter Email Copy Link Bluesky Reddit Telegram WhatsApp

Engineers at the University of Massachusetts Amherst have developed an artificial neuron whose electrical activity closely matches that of natural brain cells. The innovation builds on the team’s earlier research using protein nanowires made from electricity-producing bacteria. This new approach could pave the way for computers that run with the efficiency of living systems and may even connect directly with biological tissue.

“Our brain processes an enormous amount of data,” says Shuai Fu, a graduate student in electrical and computer engineering at UMass Amherst and lead author of the study published in Nature Communications. “But its power usage is very, very low, especially compared to the amount of electricity it takes to run a Large Language Model, like ChatGPT.”

The human body operates with remarkable electrical efficiency — more than 100 times greater than that of a typical computer circuit. The brain alone contains billions of neurons, specialized cells that send and receive electrical signals throughout the body. Performing a task such as writing a story uses only about 20 watts of power in the human brain, whereas a large language model can require more than a megawatt to accomplish the same thing.

Engineers have long sought to design artificial neurons for more energy-efficient computing, but reducing their voltage to match biological levels has been a major obstacle. “Previous versions of artificial neurons used 10 times more voltage — and 100 times more power — than the one we have created,” says Jun Yao, associate professor of electrical and computer engineering at UMass Amherst and the paper’s senior author. Because of this, earlier designs were far less efficient and couldn’t connect directly with living neurons, which are sensitive to stronger electrical signals.

“Ours register only 0.1 volts, which about the same as the neurons in our bodies,” says Yao.

There are a wide range of applications for Fu and Yao’s new neuron, from redesigning computers along bio-inspired, and far more efficient principles, to electronic devices that could speak to our bodies directly.

“We currently have all kinds of wearable electronic sensing systems,” says Yao, “but they are comparatively clunky and inefficient. Every time they sense a signal from our body, they have to electrically amplify it so that a computer can analyze it. That intermediate step of amplification increases both power consumption and the circuit’s complexity, but sensors built with our low-voltage neurons could do without any amplification at all.”

The secret ingredient in the team’s new low-powered neuron is a protein nanowire synthesized from the remarkable bacteria Geobacter sulfurreducens, which also has the superpower of producing electricity. Yao, along with various colleagues, have used the bacteria’s protein nanowires to design a whole host of extraordinary efficient devices: a biofilm, powered by sweat, that can power personal electronics; an “electronic nose” that can sniff out disease; and a device, which can be built of nearly anything, that can harvest electricity from thin air itself.

This research was supported by the Army Research Office, the U.S. National Science Foundation, the National Institutes of Health and the Alfred P. Sloan Foundation.

2025 AI artificial build neurons October 27-29 Real San Francisco Scientists Techcrunch event TechCrunch|BProud Trumps Work
Share. Facebook Twitter Pinterest LinkedIn Tumblr Telegram Email Copy Link Bluesky WhatsApp Threads
Previous ArticleTria Raises $12M To Be The Leading Self-custodial Neobank And Payments Infrastructure For Humans And AI.
Next Article Decoding City Protocol’s IP Capital Market
admin

Related Posts

How this founder’s unlikely path to Silicon Valley could become an edge in industrial tech

November 22, 2025

Grok says Elon Musk is better than basically everyone, except Shohei Ohtani

November 21, 2025

Nvidia’s record $57B revenue and upbeat forecast quiets AI bubble talk

November 20, 2025
Trending News

Leading A New Era Of AI Model Training And Digital Computing Power Contracts

October 21, 2025

How this founder’s unlikely path to Silicon Valley could become an edge in industrial tech

November 22, 2025

Crypto Crash Forces Crypto Seller Rewind: Glassnode Co-Founder

November 21, 2025

Nillion (NIL) price crashes 50% after unauthorized market-maker sell-off

November 21, 2025
About Us

At crypthing, we’re passionate about making the crypto world easier to (under)stand- and we believe everyone should feel welcome while doing it. Whether you're an experienced trader, a blockchain developer, or just getting started, we're here to share clear, reliable, and up-to-date information to help you grow.

Don't Miss

Reporters found that Zerebro founder was alive and inhaling his mother and father’ home, confirming that the suicide was staged

May 9, 2025

Openai launches initiatives to spread democratic AI through global partnerships

May 9, 2025

Stripe announces AI Foundation model for payments and introduces deeper Stablecoin integration

May 9, 2025
Top Posts

Leading A New Era Of AI Model Training And Digital Computing Power Contracts

October 21, 2025

How this founder’s unlikely path to Silicon Valley could become an edge in industrial tech

November 22, 2025

Crypto Crash Forces Crypto Seller Rewind: Glassnode Co-Founder

November 21, 2025
  • About Us
  • Privacy Policy
  • Terms and Conditions
  • Disclaimer
© 2025 crypthing. All Rights Reserved.

Type above and press Enter to search. Press Esc to cancel.