{"id":240794,"date":"2025-03-24T15:14:48","date_gmt":"2025-03-24T19:14:48","guid":{"rendered":"https:\/\/inspenet.com\/noticias\/the-luna-robot-and-the-debut-of-the-digital-nervous-system-that-is-changing-machine-learning\/"},"modified":"2025-03-24T16:35:04","modified_gmt":"2025-03-24T20:35:04","slug":"the-luna-robot-and-the-debut-of-the-digital-nervous-system-that-is-changing-machine-learning","status":"publish","type":"noticias","link":"https:\/\/inspenet.com\/en\/news\/the-luna-robot-and-the-debut-of-the-digital-nervous-system-that-is-changing-machine-learning\/","title":{"rendered":"The Luna robot and the debut of the digital nervous system that is changing machine learning"},"content":{"rendered":"\n

IntuiCell, a startup rooted in Lund University, has unveiled Luna, a quadruped robot<\/a> equipped with the first functional digital nervous system<\/strong> . This breakthrough allows the robot to learn from scratch, in real time, and in the physical world, just as humans and animals do. <\/p>\n\n

A digital nervous system that reacts instinctively<\/h2>\n\n

Unlike traditional AI models that rely on large volumes of data and pre-training, IntuiCell’s approach is based on a neuroscience-inspired architecture. Instead of predefined patterns, Luna interacts with its environment and adapts its behavior on the fly, without simulations or programmed instructions. <\/p>\n\n

According to IntuiCell, this system allows any machine to develop cognitive capabilities based on its sensory experience, representing a substantial evolution in the field of autonomous artificial intelligence.<\/p>\n\n

From brain theory to functional software<\/h2>\n\n

This project emerges after decades of neurophysiological research on how the brain works. IntuiCell’s founders have translated this knowledge into a computational environment, creating software that simulates learning based on biological neural networks<\/strong> . This transition from theory to application has given rise to a new paradigm: robotics based on instinctive intelligence. <\/p>\n\n

Luna doesn’t use generative models or predictive algorithms. Instead, its training is similar to that of an animal, as it receives stimuli, responds, and adjusts its behavior with each experience. <\/p>\n\n

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