Typically, AI models start with a blank slate and are trained on data with many different examples, from which the model constructs knowledge. But research on infants suggests this is not what babies do. Instead of building knowledge from scratch, infants start with some principled expectations about objects.

The exciting finding by Piloto and colleagues is that a deep-learning AI system modelled on what babies do, outperforms a system that begins with a blank slate and tries to learn based on experience alone.

To read the full article online, please visit The Conversation

The MARCS Institute for Brain, Behaviour, and Development and BabyLab teams were thrilled to participate in the Sydney Science Festival on August 17, held by the Powerhouse Museum and City of Parramatta. It was an exciting opportunity to showcase our work and engage with the community.