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Smart home AI system can sense people through walls

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.

Salt Lake City , United States , Antonio Torralba , Dina Katabi , Tianhong Li , Mohammad Abu Alsheikh , Mingmin Zhao , Artificial Intelligence Laboratory , Computer Science , Professor Dina Katabi , Yonglong Tian , Computer Vision , Pattern Recognition ,

Synthetic imagery sets new bar in AI training efficiency

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. ....

Phillip Isola , Huiwen Chang , Google Deepmind , David Fleet , Dilip Krishnan , University Of Toronto , Artificial Intelligence Laboratory , Lijie Fan , Yonglong Tian Phd , Neural Information Processing Systems , Mit Csail , Contrastive Learning , Synthetic Images , Stable Diffusion , Lijie Fan , Ai Image Generator , Yonglong Tian , Phillip Isola ,

Synthetic imagery sets new bar in AI training efficiency

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.

David Fleet , Google Deepmind , Artificial Intelligence Laboratory , University Of Toronto , Lijie Fan , Yonglong Tian , Synthetic Images ,

When it comes to AI, can we ditch the datasets?

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. ....

United States , Ali Jahanian , Xavier Puig , Phillip Isola , International Conference On Learning Representations , Artificial Intelligence Laboratory , Watson Ai Lab , United States Air Force Artificial Intelligence Accelerator , Department Of Electrical Engineering , United States Air Force Research Laboratory , Computer Science , Yonglong Tian , Electrical Engineering , International Conference , United States Air Force Artificial Intelligence , Phillip Isola , Enerative Models Training , Contrastive Learning ,

When it comes to AI, can we ditch the datasets?

Huge amounts of data are needed to train machine-learning models to perform image classification tasks, such as identifying damage in satellite photos ....

United States , Ali Jahanian , Xavier Puig , Phillip Isola , International Conference On Learning Representations , Artificial Intelligence Laboratory , Watson Ai Lab , United States Air Force Artificial Intelligence Accelerator , Department Of Electrical Engineering , United States Air Force Research Laboratory , Computer Science , Yonglong Tian , Electrical Engineering , International Conference , United States Air Force Artificial Intelligence ,