A analysis group led by the College of Engineering of the Hong Kong College of Science and Know-how (HKUST) has developed a liquid metal-based digital logic gadget that mimics the clever prey-capture mechanism of Venus flytraps. The research is published within the journal Nature Communications.
Exhibiting reminiscence and counting properties, the gadget can intelligently reply to numerous stimulus sequences with out the necessity for added digital elements. The clever methods and logic mechanisms within the gadget present a contemporary perspective on understanding “intelligence” in nature and provide inspiration for the event of “embodied intelligence.”
The distinctive prey-capture mechanism of Venus flytraps has at all times been an intriguing analysis focus within the realm of organic intelligence. This mechanism permits them to successfully distinguish between varied exterior stimuli comparable to single and double touches, thereby distinguishing between environmental disturbances comparable to raindrops (single contact) and bugs (double touches), guaranteeing profitable prey seize.
This performance is primarily attributed to the sensory hairs on the carnivorous vegetation, which exhibit options akin to reminiscence and counting, enabling them to understand stimuli, generate motion potentials (a change {of electrical} indicators in cells in response to a stimulus), and keep in mind the stimuli for a brief length.
Impressed by the interior electrical sign accumulation/decay mannequin of Venus flytraps, Prof. Shen Yajing, Affiliate Professor of the Division of Digital and Pc Engineering (ECE) at HKUST, who led the analysis, collaborated along with his former Ph.D. scholar at Metropolis College of Hong Kong, Dr. Yang Yuanyuan, now Affiliate Professor at Xiamen College, to suggest a liquid metal-based logic module (LLM) primarily based on the extension/contraction deformation of liquid steel wires.
The gadget employs liquid steel wires in sodium hydroxide answer because the conductive medium, controlling the size of the liquid steel wires primarily based on electrochemical results, thereby regulating cathode output in keeping with the stimuli utilized to the anode and gate. Analysis outcomes reveal that the LLM itself can memorize the length and interval {of electrical} stimuli, calculate the buildup of indicators from a number of stimuli, and exhibit vital logical capabilities just like these of Venus flytraps.
To reveal, Prof. Shen and Dr. Yang constructed a synthetic Venus flytrap system comprising the LLM clever decision-making gadget, switch-based sensory hair, and comfortable electrical actuator-based petal, replicating the predation strategy of Venus flytraps. Moreover, they showcased the potential purposes of LLM in useful circuit integration, filtering, synthetic neural networks, and extra.
Their work not solely offers insights into simulating clever behaviors in vegetation, but additionally serves as a dependable reference for the event of subsequent organic sign simulator gadgets and biologically impressed clever programs.

“When folks point out ‘synthetic intelligence,’ they often consider intelligence that mimics animal nervous programs. Nevertheless, in nature, many vegetation may also reveal intelligence by way of particular materials and structural combos. Analysis on this route offers a brand new perspective and method for us to grasp ‘intelligence’ in nature and assemble ‘life-like intelligence,'” mentioned Prof. Shen.
“A number of years in the past, when Dr. Yang was nonetheless pursuing her Ph.D. in my analysis group, we mentioned the thought of setting up clever entities impressed by vegetation collectively. It’s gratifying that after a number of years of effort, we’ve got achieved the conceptual verification and simulation of Venus flytrap intelligence.
“Nevertheless, it’s value noting that this work remains to be comparatively preliminary, and there may be a lot work to be finished sooner or later, comparable to designing extra environment friendly buildings, lowering the dimensions of gadgets, and enhancing system responsiveness,” added Prof. Shen.
Extra data:
Yuanyuan Yang et al, A liquid metal-based module emulating the clever preying logic of flytrap, Nature Communications (2024). DOI: 10.1038/s41467-024-47791-7
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New liquid metal-based digital logic gadget mimics prey-capture mechanism of Venus flytrap (2024, June 6)
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