Catastrophic Forgetting

Catastrophic forgetting is the tendency of an artificial neural network to entirely and abruptly forget previously learned information when it learns new information.

Every time a neural network needs to learn something new, it forgets the previous information. It is a significant problem for continuous learning in machine learning models.

What will happen when machines can remember infinitely?

In a world where humans have become extinct.

What will machines remember about us?

How will that data affect the construction of socio-technological futures?

Catastrophic Forgetting was presented as part of the opening of the new permanently installed multi-channel sound system at x-church.

With 26 discrete loudspeakers spread across the space, it is one of the largest multi-channel systems in Lincolnshire, UK.

One of the highlights of this sound project that makes it unique is the community space in which the system is set up. There, both local artists and x-church residents will be able to access the system and produce their work.

A unique multi-channel sound system made available to the community, generating creative change for future generations of artists.