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 machine learning that they can then execute, IntuiCell has a different approach: an AI agent that educates itself autonomously. The company calls the concept a “digital nervous system,” as it mimics a biological nervous system and allows the robot to experiment, process, and adapt its interactions with the world.
A video shared by IntuiCell shows Luna learning to balance, stand, and walk from random limb movements that are gradually refined into the movements needed to perform various actions:
“For decades, AI has excelled at processing vast amounts of data but has fundamentally been incapable of real intelligence,” said Viktor Luthman, CEO and Co-Founder of IntuiCell. “Our system changes that. We’ve translated the principles of biological learning into software, enabling AI to evolve, adapt, and interact with the world in ways never previously envisaged. Through licensing our digital nervous system, we aim to become the infrastructure for all non-biological intelligence – empowering others to solve real-world problems we cannot foresee today, without a reliance on massive training datasets.”
The company makes some big claims about the potential of the AI technology and its use of a decentralized learning network that enables learning and adapting in real time. It has potential for use is fields such as deep sea or space exploration, or responding to emergency situations which would be dangerous for humans.
“IntuiCell’s AI is not just an improved version of machine learning; it is an entirely new category of intelligence,” said Udaya Rongala, Researcher and Co-Founder of IntuiCell. “Our work is rooted in 30 years of contrarian neuroscience research and built on a unique understanding of how intelligence emerges from the architecture and dynamics of the nervous system as a whole. The obsession with brute-force scaling, billions of parameters, more compute, and more data is an artifact of a fundamentally wrong approach to achieving intelligence. IntuiCell is not chasing a bigger-is-better paradigm. Intelligence is not our end-goal, but our starting point.”
Speech-to-text apps have flooded the App Store, making it easier than ever to type on our Macs with just our voice. I have previously covered one such app called TypeWhisper. However, there has been a dearth of good text-to-speech models, and most of the good ones are locked behind a subscription.
Ollama, an open-source app that lets you run local AI models on your computer, wants to change that. It works on macOS, Windows, and Linux, and your prompts are never stored or used for training.
Did you think hitting delete on your AI chatbot conversation actually makes it disappear? Georgia Tech researchers just proved that's not entirely true. They have built a forensic tool called ORISA that can dig deleted conversations from your phone and even rebuild them into a working chatbot session you can keep talking to.
How can ORISA bring deleted AI conversations back?
Touchscreen laptops have been around for years. You can get them in all sizes and shapes. Just not from Apple. For years, the Cupertino giant has treated the idea of a touchscreen MacBook the way I treat a meeting that could have been an email: with open contempt. However, Wednesday looks like the day the company could finally change its mind.
The latest Apple invite puts the “Pro and Tell” showcase in Los Angeles at 10 a.m. PT (1 p.m. ET) on October 28, 2026. Instead of a regular live-streamed keynote, it is an invitation-only, hands-on event for a handful of press and creators (similar to what the company did for the MacBook Neo earlier this year).