Tag: CNN

AI/ML

Recovering “lost dimensions” of images and video

Newsemia
MIT researchers have developed a model that recovers valuable data lost from images and video that have been “collapsed” into lower dimensions. The model could...
AI/ML

From one brain scan, more information for medical artificial intelligence

Newsemia
MIT researchers have devised a novel method to glean more information from images used to train machine-learning models, including those that can analyze medical scans...
AI/ML

Sensor-packed glove learns signatures of the human grasp

Newsemia
Wearing a sensor-packed glove while handling a variety of objects, MIT researchers have compiled a massive dataset that enables an AI system to recognize objects...
AI/ML

Bringing human-like reasoning to driverless car navigation

Newsemia
With aims of bringing more human-like reasoning to autonomous vehicles, MIT researchers have created a system that uses only simple maps and visual data to...
AI/ML

Kicking neural network automation into high gear

Newsemia
A new area in artificial intelligence involves using algorithms to automatically design machine-learning systems known as neural networks, which are more accurate and efficient than...
AI/ML

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.

Newsemia
Related Articles Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif Intell Med. 2018 Nov...
AI/ML

Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms

Newsemia
Researchers from MIT and Massachusetts General Hospital have developed an automated model that assesses dense breast tissue in mammograms — which is an independent risk...
AI/ML

Helping computers fill in the gaps between video frames

Newsemia
Given only a few frames of a video, humans can usually surmise what is happening and will happen on screen. If we see an early...

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