Rutgers researchers and their collaborators have found that learning — a universal feature of intelligence in living beings — can be mimicked in synthetic matter, a discovery that in turn could inspire new algorithms for artificial intelligence (AI).
The study appears in the journal PNAS.
One of the fundamental characteristics of humans is the ability to continuously learn from and adapt to changing environments. But until recently, AI has been narrowly focused on emulating human logic. Now, researchers are looking to mimic human cognition in devices that can learn, remember and make decisions the way a human brain does.
Emulating such features in the solid state could inspire new algorithms in AI and neuromorphic computing that would have the flexibility to address uncertainties, contradictions and other aspects of everyday life. Neuromorphic computing mimics the neural structure and operation of the human brain, in part, by building artificial nerve systems to transfer electrical signals that mimic brain signals.
Researchers from Rutgers, Purdue and other institutions studied how the electrical conductivity of nickel oxide, a special type of insulating material, responded when its environment was changed repeatedly over various time intervals.
“The goal was to find a material whose electrical conductivity can be tuned by modulating the concentration of atomic defects with external stimuli such as oxygen, ozone and light,” said Subhasish Mandal, a postdoctoral associate in the Department of Physics and Astronomy at Rutgers-New Brunswick. “We studied how this material behaves when we dope the system with oxygen or hydrogen, and most importantly, how the external stimulation changes the material’s electronic properties.”
The researchers found that when the gas stimulus changed rapidly, the material couldn’t respond in full. It stayed in an unstable state in either environment and its response began to decrease. When the researchers introduced a noxious stimulus such as ozone, the material began to respond more strongly only to decrease again.
“The most interesting part of our results is that it demonstrates universal learning characteristics such as habituation and sensitization that we generally find in living species,” Mandal said. “These material characteristics in turn can inspire new algorithms for artificial intelligence. Much as collective motion of birds or fish have inspired AI, we believe collective behavior of electrons in a quantum solid can do the same in the future.
“The growing field of AI requires hardware that can host adaptive memory properties beyond what is used in today’s computers,” he added. “We find that nickel oxide insulators, which historically have been restricted to academic pursuits, might be interesting candidates to be tested in future for brain-inspired computers and robotics.”
Original Article: Researchers Find Human Learning Can be Duplicated in Synthetic Matter
The Latest on: Brain-inspired computers
- Bombshell Report Says Elon Musk's Neuralink Under Federal Investigationon December 5, 2022 at 7:27 pm
Staffers at Musk's medical device manufacturer have reportedly complained that rushed tests are causing needless animal deaths. Federal authorities are investigating Elon Musk's Neuralink for ...
- The Transcendent Brainon December 5, 2022 at 3:41 pm
Humans are evolutionarily drawn to beauty. How do such complex experiences emerge from a collection of atoms and molecules?
- The Simpsons Pairs an Unlikely Duo to Tackle Big Techon December 5, 2022 at 10:10 am
This The Simpsons review contains spoilers. The Simpsons Season 34 Episode 10. The Simpsons plays to all its strengths in “Game Done Changed.” The episode acts on the title to ...
- Musk’s Neuralink Hopes to Implant Computer in Human Brain in Six Monthson December 1, 2022 at 10:22 am
Most Read from Bloomberg Musk’s Neuralink Hopes to Implant Computer in Human Brain in Six Months An Arizona County’s Refusal to Certify Election Results Could Cost GOP a House Seat Scientists Revive ...
- Musk’s Neuralink Hopes to Implant Computer in Human Brain in Six Monthson November 30, 2022 at 11:35 pm
Most Read from Bloomberg Musk’s Neuralink Hopes to Implant Computer in Human Brain in Six Months Beverly Hills Cop Was California’s Highest-Paid Municipal Worker Goldman Jolts Traders With ...
- Neuralink to implant its BCI in a person within 6 monthson November 30, 2022 at 11:27 pm
Elon Musk says his brain-computer interface venture Neuralink plans the first-in-human implant of its N1 device within the next 6 months.
- Elon Musk Hopes to Place Neuralink's Implant Computer in a Human Brain in Six Monthson November 30, 2022 at 9:35 pm
Neuralink's brain-computer interfaces aren't ready yet, but the company has an eye toward one day curing blindness and paralysis.
- Is the brain a quantum computer? A remarkable pair of studies suggests soon November 30, 2022 at 1:43 pm
Your brain reacts, does the catching thing ... which means our brains and thus consciousness could work a bit like a quantum computer. This experiment is a good indicator of something happening ...
- Watch Live: Neuralink Brain Implant 'Show and Tell' Updateon November 29, 2022 at 2:53 am
What will we see at Neuralink's first update in over a year? Here's how you can watch the event tonight. Stephen Shankland has been a reporter at CNET since 1998 and writes about processors ...
- Brain-computer Interface System Market 2023 : Profiling Key Players, Value Estimation and Analysis by Recent Trends to 2028on November 25, 2022 at 6:48 am
"Brain-computer Interface System Market" Insights 2022 - By Applications (Medical Treatment, Entertainment, Research), By Types (Non-invasive (Outside the Brain), Intrusive, Semi-invasive), By ...
via Bing News
The Latest on: Brain-inspired computers
[google_news title=”” keyword=”brain-inspired computers” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News