Machine learning is a subfield of artificial intelligence that enables computers to learn from data and improve their performance without being explicitly programmed. In artistic environments, machine learning can be used to create new forms of interactive and generative art. For example, machine learning algorithms can be trained on a dataset of images or sounds, and then used to generate new, unique pieces of art based on the patterns and styles observed in the dataset. Machine learning can also be used to create interactive installations that respond to the movements and actions of viewers, creating a dynamic and engaging experience.

Web3 refers to the next generation of the internet, which is focused on decentralization, privacy, and security. It aims to create a more open and user-centric internet that is less controlled by centralized entities such as governments and corporations.

Decentralization is a key feature of Web3, where information and control are spread out across a network of computers instead of being controlled by a central authority. This allows for greater transparency, trust, and security as there is no single point of failure or control.

Blockchain is a distributed ledger technology that underlies many decentralized applications in Web3. It allows for the creation of immutable, transparent, and secure records that can be shared and accessed by anyone on the network. Blockchain technology has the potential to disrupt many industries by enabling secure and transparent peer-to-peer transactions without the need for intermediaries.

In the context of the lab's research, the exploration of new decentralized spaces enabled by Web3 and blockchain technologies refers to the investigation of new ways of creating and sharing digital content and services in a more decentralized and secure manner. These technologies can potentially provide new opportunities for artists and creatives to collaborate and share their work without the need for traditional intermediaries such as galleries or distributors.