The sea slug has taught neuroscientists the intelligence features that any creature in the animal kingdom needs to survive. Now, the sea slug is teaching artificial intelligence how to use those strategies.
Pictured: Aplysia californica. (NOAA Monterey Bay National Marine Sanctuary photo/Chad King)
For artificial intelligence to get any smarter, it needs first to be as intelligent as one of the simplest creatures in the animal kingdom: the sea slug.
A new study has found that a material can mimic the sea slug’s most essential intelligence features. The discovery is a step toward building hardware that could help make AI more efficient and reliable for technology ranging from self-driving cars and surgical robots to social media algorithms.
The study, publishing this week in the Proceedings of the National Academy of Sciences, was conducted by a team of researchers from Purdue University, Rutgers University, the University of Georgia and Argonne National Laboratory.
“Through studying sea slugs, neuroscientists discovered the hallmarks of intelligence that are fundamental to any organism’s survival,” said Shriram Ramanathan, a Purdue professor of materials engineering. “We want to take advantage of that mature intelligence in animals to accelerate the development of AI.”
Two main signs of intelligence that neuroscientists have learned from sea slugs are habituation and sensitization. Habituation is getting used to a stimulus over time, such as tuning out noises when driving the same route to work every day. Sensitization is the opposite – it’s reacting strongly to a new stimulus, like avoiding bad food from a restaurant.
AI has a really hard time learning and storing new information without overwriting information it has already learned and stored, a problem that researchers studying brain-inspired computing call the “stability-plasticity dilemma.” Habituation would allow AI to “forget” unneeded information (achieving more stability) while sensitization could help with retaining new and important information (enabling plasticity).
In this study, the researchers found a way to demonstrate both habituation and sensitization in nickel oxide, a quantum material. The material is called “quantum” because its properties can’t be explained by classical physics.
If a quantum material could reliably mimic these forms of learning, then it may be possible to build AI directly into hardware. And if AI could operate both through hardware and software, it might be able to perform more complex tasks using less energy.
“We basically emulated experiments done on sea slugs in quantum materials toward understanding how these materials can be of interest for AI,” Ramanathan said.
Neuroscience studies have shown that the sea slug demonstrates habituation when it stops withdrawing its gill as much in response to being tapped on the siphon. But an electric shock to its tail causes its gill to withdraw much more dramatically, showing sensitization.
For nickel oxide, the equivalent of a “gill withdrawal” is an increased change in electrical resistance. The researchers found that repeatedly exposing the material to hydrogen gas causes nickel oxide’s change in electrical resistance to decrease over time, but introducing a new stimulus like ozone greatly increases the change in electrical resistance.
Inspired by these findings, a research group under Kaushik Roy, Purdue’s Edward G. Tiedemann Jr. Distinguished Professor of Electrical and Computer Engineering, modeled nickel oxide’s behavior and built an algorithm that successfully used these habituation and sensitization strategies to categorize data points into clusters.
“The stability-plasticity dilemma is not solved at all. But we’ve shown a way to address it based on behavior we’ve observed in a quantum material,” Roy said. “If we could turn a material that learns like this into hardware in the future, then AI could perform tasks much more efficiently.”
For practical use of quantum materials as AI hardware, researchers will need to figure out how to apply habituation and sensitization in large-scale systems. They also would have to determine how a material could respond to stimuli while integrated into a computer chip.
This study is a starting place for guiding those next steps, the researchers said. In addition to the experiments performed at Purdue, a team at Rutgers University performed detailed theory calculations to understand what was happening within nickel oxide at a microscopic level to mimic the sea slug’s intelligence features. Argonne National Laboratory characterized the nickel oxide sample’s properties and the University of Georgia measured conductivity to further analyze the material’s behavior.
Original Article: Taking lessons from a sea slug, study points to better hardware for artificial intelligence
More from: Purdue University | Rutgers University | University of Georgia | Argonne National Laboratory
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
Hardware for artificial intelligence
- Huge Artificial Intelligence (AI) News for 3 Tech Companies This Week -- None of Which Are Named Nvidiaon May 17, 2024 at 11:30 pm
When people think of artificial intelligence (AI), they gravitate to graphics processing unit (GPU) chip leader Nvidia ( NVDA -1.99%) -- and rightly so. Nvidia currently has a huge lead making the ...
- CoLab Software raises $21M to help hardware engineering teams accelerate product developmenton May 16, 2024 at 10:40 am
ST. JOHN’S, Newfoundland-- (BUSINESS WIRE)--May 16, 2024-- ...
- When You Look Back in 5 Years, You'll Wish You'd Bought This Tiny Artificial Intelligence (AI) Stockon May 16, 2024 at 1:29 am
DigitalOcean (with help from Paperspace) is a picks-and-shovels play on that opportunity. Its data center infrastructure and cloud platform are the tools SMBs need to participate in the AI revolution, ...
- Hardware supply chain's pivotal value recognized in Nvidia's strategieson May 16, 2024 at 1:15 am
Nvidia has mastered its CUDA software, constantly emphasized its affiliation with Taiwan and TSMC, and has even secured strong connections with the server supply chain in practice.
- How Software and Artificial Intelligence are Defining the Future of Stellantison May 15, 2024 at 5:46 pm
Software defined vehicle technologies and AI are changing how the legacy automaker Stellantis operates. The future moves fast. Just last year, MotorTrend 's 172-page e-book and 22-minute documentary, ...
Go deeper with Google Headlines on:
Hardware for artificial intelligence
[google_news title=”” keyword=”hardware for artificial intelligence” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]
Go deeper with Bing News on:
Artificial intelligence hardware
- Huge Artificial Intelligence (AI) News for 3 Tech Companies This Week -- None of Which Are Named Nvidiaon May 17, 2024 at 11:30 pm
When people think of artificial intelligence (AI), they gravitate to graphics processing unit (GPU) chip leader Nvidia ( NVDA -1.99%) -- and rightly so. Nvidia currently has a huge lead making the ...
- Malawi University of Science and Technology (MUST) develop various artificial intelligence systemson May 17, 2024 at 9:38 pm
Malawi University of Science and Technology (MUST) develop various artificial intelligence systems Malawi 24 | Latest News from Malawi | Stay up-to-date with the latest news from Malawi and around ...
- When You Look Back in 5 Years, You'll Wish You'd Bought This Tiny Artificial Intelligence (AI) Stockon May 16, 2024 at 1:29 am
DigitalOcean (with help from Paperspace) is a picks-and-shovels play on that opportunity. Its data center infrastructure and cloud platform are the tools SMBs need to participate in the AI revolution, ...
- Hardware supply chain's pivotal value recognized in Nvidia's strategieson May 16, 2024 at 1:15 am
Nvidia has mastered its CUDA software, constantly emphasized its affiliation with Taiwan and TSMC, and has even secured strong connections with the server supply chain in practice.
- How Software and Artificial Intelligence are Defining the Future of Stellantison May 15, 2024 at 5:46 pm
Software defined vehicle technologies and AI are changing how the legacy automaker Stellantis operates. The future moves fast. Just last year, MotorTrend 's 172-page e-book and 22-minute documentary, ...
Go deeper with Google Headlines on:
Artificial intelligence hardware
[google_news title=”” keyword=”artificial intelligence hardware” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]