Facebook is quietly trying to develop the most useful virtual assistant ever, in a project that illustrates the current limitations of artificial intelligence.

Researchers at MIT and Massachusetts General Hospital have devised a new way to monitor sleep without any kind of sensors attached to the body. Their sensor uses low-power radio waves that detect small changes in body movement caused by the patient’s breathing…

Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements and enable real-time evaluation. For this, we introduce a new neural network…

Prediction of the on-going activity from a TRN is shown. Yes, I am playing my hands :)
Model of TRN and code are available at https://github.com/metalbubble/TRN-pytorch
Model is trained on Something-Something-V2 dataset.

AI-powered video technology is becoming ubiquitous, tracking our faces and bodies through stores, offices, and public spaces. In some countries the technology constitutes a powerful new layer of policing and government surveillance. Fortunately, as some researchers…

MIT Introduction to Deep Learning 6.S191 (2020)

DISCLAIMER: The following video is synthetic and was created using deep learning with simultaneous speech-to-speech translation as well as video dialogue replacement (CannyAI).

** NOTE**: The audio quality…