Performing Speech and Object Recognition using just One Model with MIT’s ML System
Researchers at MIT have designed a machine learning model that identifies objects in images using spoken descriptions (audio captions).
Researchers at MIT have designed a machine learning model that identifies objects in images using spoken descriptions (audio captions).
MIT Researchers have developed a machine learning model that uses computer vision techniques to detect, and pick up objects in under an hour.
MIT researchers have designed a neural network model that uses text and audio recordings of natural conversations to diagnose depression.
ArticleVideo Book Overview MIT has unveiled an open source tool, called DIVE, for performing data exploration and visualization Features include all sorts of graphs …
Researchers from MIT’s AI lab have developed an AI that see through walls to detect the posture and movement of people. Read more about it and watch the video inside.
ArticleVideo Book Overview AlterEgo comprises of a device and a computing system that can read and transcribe your inner voice It is made up …
ArticleVideo Book Overview Researchers at UC Berkeley have created a robot that can sift through objects and pick them with amazing accuracy Called, Dex-Net, …
ArticleVideo Book Most neural network models that we know of are huge and computationally heavy, which means they consume a lot of energy and …