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).
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MIT AI
MIT’s Neural Network uses Text & Audio to Perform Sentiment Analysis for Healthcare
MIT researchers have designed a neural network model that uses text and audio recordings of natural conversations to diagnose depression.
MIT’s Open Source Algorithm Automates Object Detection in Images (with GitHub link)
Overview MIT’s CSAIL researchers have unveilved an approach that automates certain parts of image editing, including object detection The approach is called Semantic Soft …
PixelPlayer – Identify and Extract Musical Instrument Sounds from Videos with MIT’s AI
Overview Researchers from MIT have developed an AI system, called PixelPlayer, that identifies and isolates instrument sounds from videos The system, developed through self-supervised …
MIT Researchers Built a Neural Network that can See Through Walls!
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.
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