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Chunking in Infants
As we know chunking is used in adults in different ways which can include low-level perceptual features, category membership, semantic relatedness, and statistical co-occurrences between items they view. Although due to recent studies we are starting to realize that infants also use chunking. Chunking helps them when they have to revisit an object later on and will be easier for them to recognize. It will help them have an idea of what it is because they take into consideration the features on the object. This will help them see how the objects are different. They also use different types of knowledges to help them with chunking like conceptual knowledge, spatiotemporal cue knowledge, and knowledge of their social domain.

There have been studies that use different chunking models like PARSER and the Bayesian model. PARSER is a is a chunking model designed to account for human behavior by implementing psychologically plausible processes of attention, memory, and associative learning. In a recent study, it was determined that these chunking models like PARSER are seen in infants more than chunking models like Bayesian. PARSER is seen more because it is typically endowed with the ability to process up to three chunks simultaneously.

Why is it impressive for Infants to be Chunking
Many individuals believed that infants didn't have the ability to use chunking since they thought their minds weren't able to process. They instead are able to use chunking by using their social knowledge, abstract knowledge and subtle cues since they can not create a perception of their social group on their own. It is also impressive because infants can form chunks using shared features or spatial proximity between objects. In 6 months after birth, infants’ short-term memory capacity encompasses only a single item, and expands to encompass two items by 8-10 months of age, and possibly up to four items. Later on, around 8-months they are capable of holding only up to two items in memory, computing pairwise statistics might be a more efficient strategy than trying to build up representations of chunks that could consist of many more than two items.