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Robot dog learns, adapts like humans, Swedish AI startup IntuiCell says
STOCKHOLM, March 19 (Reuters) - A Swedish AI startup company has created a robot dog named Luna that has a functional digital nervous system capable of learning and adapting like humans and many animals, the company, IntuiCell, said on Wednesday. In one of the first-use cases of physical agentic
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Swedish firm's robot dog Luna learns like humans using neural AI
Luna showcases the first software enabling any machine to learn like humans and animals do. A European AI startup has introduced Luna, a robot dog equipped with a digital nervous system that mimics human and animal learning. Developed by Swedish firm IntuiCell, Luna represents one of the first
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Watch a robot dog learn to stand and walk thanks to its 'digital brain'
Move over, Boston Dynamics, as there's a new robot dog in town. Swedish startup IntuiCell has unveiled its AI model that learns and adapts to its environment, demonstrated through a robot dog named Luna. While most traditional animal-like robots have been trained on specific movements using
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Meet Luna, the new AI robot dog who teaches itself using a digital nervous system and software 'that allows any machine to learn like humans and animals do'
Move over Spot -- aka the Boston Dynamics robot dog doing things like guard Pompei -- a new robot dog is in town to make us awwww in fear. Reuters reports the new dog on the block is developed by Swedish start up IntuiCell. The company claims its pup, called Luna, can learn just like a real boy,
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Robot Dog Learns, Adapts Like Humans, Swedish AI Startup IntuiCell Says
STOCKHOLM (Reuters) - A Swedish AI startup company has created a robot dog named Luna that has a functional digital nervous system capable of learning and adapting like humans and many animals, the company, IntuiCell, said on Wednesday. In one of the first-use cases of physical agentic AI, which
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IntuiCell, a Swedish AI startup, has developed Luna, a robot dog with a digital nervous system that can learn and adapt like humans and animals. This breakthrough in physical agentic AI could revolutionize robotics and autonomous systems.

Swedish AI startup IntuiCell has unveiled Luna, a groundbreaking robot dog equipped with a functional digital nervous system capable of learning and adapting like humans and animals. This innovation represents one of the first applications of physical agentic AI, allowing machines to make decisions and take actions towards specific goals autonomously
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.Unlike traditional AI models that rely on vast datasets and pre-training, Luna's digital nervous system mimics biological learning processes. This novel approach enables the robot to learn through direct interactions with its environment, without the need for offline simulations or extensive data centers
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.Viktor Luthman, CEO and co-founder of IntuiCell, explained, "What we have built is the first software that allows any machine to learn like humans and animals do. There's no pre-training, no offline simulations and no billion-dollar data center in the background, but there's a nervous system that allows the machine to learn"
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.Currently, Luna has learned to stand on its feet and is in the process of learning to walk. IntuiCell plans to hire a dog trainer to teach Luna how to walk, rather than integrating a generative AI model. This approach is based on how neurons interact and process information in biological systems
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.A video shared by IntuiCell demonstrates Luna's progress, showing the robot dog learning to balance, stand, and walk through a process of experimentation and refinement
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.The technology behind Luna has far-reaching implications for various fields:
Luthman envisions intelligent machines being sent to Mars to build future habitats for humans, emphasizing the need for robots that can solve problems in unpredictable environments without pre-training
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IntuiCell's approach is rooted in 30 years of contrarian neuroscience research. Udaya Rongala, Researcher and Co-Founder of IntuiCell, stated, "Our work is built on a unique understanding of how intelligence emerges from the architecture and dynamics of the nervous system as a whole"
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.This decentralized learning network enables real-time learning and adaptation, potentially revolutionizing the field of artificial intelligence
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.IntuiCell, formed as a spin-out from Lund University in Sweden in 2020, has attracted funding from Sweden's Navigare Ventures, Norway's SNÖ Ventures, and the European Union
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. The company aims to become the infrastructure for all non-biological intelligence by licensing its digital nervous system technology3
.As Luna continues to develop and learn, it may pave the way for a new generation of autonomous robots capable of adapting to complex, unpredictable environments. This breakthrough could significantly impact various industries and scientific endeavors, from space exploration to disaster response and beyond
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