Smart home AI system can sense people through walls innovationtoronto.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from innovationtoronto.com Daily Mail and Mail on Sunday newspapers.
MIT researchers have developed StableRep, an AI training method using synthetic images generated by text-to-image models, which surpasses traditional training on real images. The approach leverages multi-positive contrastive learning, promising more efficient, less biased, and resource-conscious machine learning development.
Synthetic imagery sets new bar in AI training efficiency techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.
MIT researchers have developed a technique to train a machine-learning model for image classification, which does not require the use of a dataset. Instead, they use a “generative model” to produce synthetic data that is used to train an image classifier, which can then perform as well as or better than an image classifier trained using real data.