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A lifeless hydrogel blob can play Pong
Inspired by recent advancements in brain organoid systems, researchers have designed a simple hydrogel-electrode array that not only can "play" Pong, but improve its gameplay over time. Debuted by Atari in 1972, Pong is one of the most rudimentary but influential video games of all time. Although
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Scientists enable hydrogel to play and improve at Pong video game
Researchers say their creation has memory, which it can use to perform better by gaining experience Researchers have found a soft and squidgy water-rich gel is not only able to play the video game Pong, but gets better at it over time. The findings come almost two years after brain cells in a
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Gooey gel can play video game Pong and learns how to improve over time, scientists find
A gooey gel made by scientists can play the video game Pong and gets better over time as it learns, new research has shown. The experts claim the "muscle memory" on display might be useful for people developing artificial intelligence. Inspired by a study that used brain cells in a dish to play
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Hydrogels can learn to play Pong
Work could lead to new "smart" materials that can learn and adapt to their environment. Pong will always hold a special place in the history of gaming as one of the earliest arcade video games. First introduced in 1972, it was a table tennis game featuring very simple graphics and game play. In
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AI made of jelly 'learns' to play Pong -- and improves with practice
A basic artificial intelligence (AI) system made of a jelly-like material hooked up to electrodes can 'learn' how to play the classic video game Pong and improve over time, according to a study published today. The results are a first step towards demonstrating that synthetic materials can use a
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Scientists have developed a hydrogel capable of playing the classic video game Pong and improving its performance over time. This breakthrough combines materials science, artificial intelligence, and soft robotics, potentially revolutionizing future technologies.

In a groundbreaking development at the intersection of materials science and artificial intelligence, researchers have created a hydrogel capable of playing the classic video game Pong. This achievement, detailed in a study published in the journal Nature Machine Intelligence, marks a significant step forward in the field of soft robotics and adaptive materials
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.The hydrogel, described as a "gooey" substance, is composed of a polymer network infused with water and a unique blend of chemicals. When exposed to specific voltages, the gel undergoes physical changes, allowing it to move a virtual paddle up and down to play Pong
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.What sets this hydrogel apart is its ability to "learn" and improve its gameplay over time. The material's structure allows it to form temporary "memories" of successful moves, which it can then replicate in future games. This adaptive behavior mimics a rudimentary form of learning, akin to the way living organisms acquire new skills
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.The implications of this research extend far beyond gaming. Experts suggest that this technology could pave the way for more advanced soft robots and adaptive materials with applications in various fields:
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The hydrogel's ability to learn stems from its unique chemical composition. When successful moves are made, the gel's molecules temporarily align in a specific pattern. This alignment creates a "memory" that influences future behavior, allowing the gel to replicate successful strategies
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.Dr. Elliot Hawkes, a mechanical engineer at the University of California, Santa Barbara, who was not involved in the study, commented on the significance of the research: "This work represents a fascinating step towards materials that can adapt and learn from their environment, much like living organisms do."
While the hydrogel's ability to play Pong is impressive, researchers acknowledge that there are still many challenges to overcome. The current version of the gel can only retain its "memories" for a limited time, and its learning capabilities are still rudimentary compared to traditional AI systems.
Future research will focus on enhancing the gel's memory retention and expanding its ability to learn more complex tasks. Scientists are also exploring ways to scale up the technology for practical applications in robotics and adaptive materials.
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