Rethinking landscape design. Livee uses computer vision and machine learning to reshape the landscaping design process. On average, landscape designers take one week to produce a proposal. We do it in 4 seconds. |
Matrix factorization Our recommendations use what is called matrix factorization — a class of collaborative filtering algorithms used in recommender systems. The system allows lower user interaction, by employing two underlying matrices. This recommendation method was made famous by Simon Funk in the Netflix Challenge. |
AI does not replace humans, it improves their capacity. Machine learning is superseding human labor in areas such as design. But this doesn't mean that designers will no longer have jobs. It means that they can stop spending unnecessary time on routine tasks which our systems can do far more faster and efficiently. In turn, designers can process more leads and commit their time to more projects. Machine learning does not have to replace human labor, rather, it makes it more efficient. |