Artificial Intelligence: AI Analyzes How Spiders Construct Their Webs
How do these tiny creatures with even tinier brains create their webs of such geometrical precision and elegance?
Researchers at the Krieger School at John Hopkins University used night vision and AI to unravel the secret methods that spiders use to create their webs in the dark. Their findings are due to publish in the November issue of Current Biology. (John Hopkins University HUB)
Senior author Andrew Gordus, a behavioral biologist in the Department of Biology in the Krieger School of Arts and Sciences, said in the context of these spectacular webs that “this is even more amazing because a spider’s brain is so tiny and I was frustrated that we didn’t know more about how this remarkable behavior occurs.”
The researchers have now defined the entire web building “choreography” in a web-building algorithm, or playbook. What is amazing is that the spiders construct the delicately precise and geometrical webs in the dark, without vision, and entirely through their sense of touch.
John Hopkins research on spiders’ web-making: how they did it
In a never before attempt, the John Hopkins researchers set out to document and analyze the web-building behaviour and motor actions of the fingertip-sized hackled orb spider. The researchers recorded the web-building activities of six of these spiders using infrared cameras, infrared lights, and specialized machine vision software. That software could detect the posture of the spider, frame by frame, in order to document all the leg movements that build the web.
The set up recorded millions of individual leg actions, and the upshot of it was that the spiders basically used the same web-building methods.
“They’re all using the same rules, which confirms the rules are encoded in their brains,” said Gorbus. “Now we want to know how those rules are encoded at the level of neurons.”
“The spider is fascinating because here you have an animal with a brain built on the same fundamental building blocks as our own, and this work could give us hints on how we can understand larger brain systems, including humans, and I think that’s very exciting,” said lead author Abel Corver, a graduate student studying web-making and neurophysiology at John Hopkins.
Related Story: Machine Learning To Identify Whale Sounds, Warn Ships
Image Credit: Flickr
Latest Alternative Investment News
Artificial Intelligence: AMD Takes On Rivals In The AI Chip Sweepstakes
Chipmaker AMD (NASDAQ: AMD) has unveiled a range of innovative AI solutions spanning from data centers to personal computers. The AMD Instinct MI300 Series features data center AI accelerators, while…
Digital Assets: Robinhood Debuts Crypto Trading On Its App In The EU
Robinhood (NASDAQ: HOOD) has launched its Crypto app in the European Union (EU), allowing eligible customers to engage in crypto trading with the added incentive of earning Bitcoin rewards. Customers…
FinTech: Samsung Electronics Ties With Mastercard’s Wallet Express
Samsung Electronics (KRX: 005930) and Mastercard (NYSE: MA) have partnered to launch the Wallet Express program, offering banks and card issuers a cost-effective way to expand digital wallet offerings. Through…
Venture Capital: Revaia, Europe’s Biggest Female-Led VC Firm, Racks Up $160M For Second Fund
Revaia, Europe’s largest female-founded venture capital firm, has successfully raised €150 million ($160 million) for its second fund, Revaia Growth II. The funding was secured from sovereign wealth funds, family…