The project is also based on the neocortex's role in sensorimotor learning, which allows it to learn in a dynamic manner and quickly adapt to new data. The Thousand Brains Project is developing AI that relies on reference frames, similar to the mammalian brain, to store and understand sensorimotor data. Potential applications for this new AI platform include sophisticated computer vision systems and advanced touch systems for robots. The Gates Foundation is providing the project with a minimum of $2.69 million over two years, and the project is also hoping to announce agreements with government agencies soon.
Key takeaways:
- The Thousand Brains Project is an ambitious new endeavor that aims to develop a new AI framework that operates on the same principles as the human brain, but is fundamentally different from the principles underlying the deep neural networks that dominate artificial intelligence today.
- The project is based on the structure of the neocortex and aims to mimic this neuroscience structure in AI with many cortical column-like units that can each perform a sensorimotor task, such as operate a robotic finger.
- The project is also based on the neocortex’s role in sensorimotor learning, with the aim to build machines that work like the neocortex in terms of sensorimotor learning, which are inherently robotic.
- The Gates Foundation is providing the Thousand Brains Project a minimum of $2.69 million over two years, and the project is developing a software development kit so others can build on its work.