Why we invested in Intuicell

Choosing their own path towards self-learning AI systems based on decades of research in
neuroscience, opening an alternative way to truly autonomous robots and digital systems.

Many important AI advancements were inspired by neuroscience – the way in which we build AI has
been guided and inspired by how the brain’s memory functions, to mention one example. The
emerging field of NeuroAI is at the intersection of neuroscience and AI – mapping fundamental
elements of what intelligence consists of, enabling a potential next big leap in AI.
AI, as we know it today, has limitations such as time-consuming training, a need for vast amounts of
data, the constant re-training and the lack of intuitive self-learning patterns. The AI in an autonomous
vehicle with today’s technology becomes static for these reasons, while ideally the control system
would have a higher level of agency in order to be able to generalize and apply learning from one
situation to another.

Intuicell, born from research at Lund University, has created a technology mimicking the brain’s
plasticity, creating and shutting down connections between neurons and allowing for self-learning and
adaptation to the system's environment. Their method is very computationally efficient, allowing for
continuous learning in real time. The algorithms at Intuicell differ from existing AI algorithms in how
they are trained – opening for a new variety of applications in signal processing, robotic control and
real-time industrial automation.

Through our investment in Intuicell, we contribute to creating the next generation of AI.

Investment date

May 2023

Read more at Intuicell website →