[Paper Summary] Washington University Researchers propose a Deep Learning Model that automates Brain Tumor Classification

Biopsies are always the first call when it comes to diagnosing a case of brain cancer. Surgeons start by removing a thin layer of tissue from the tumor to find signs of disease closely under a microscope. Although biopsies are very presumptuous, the samples collected only represent a snatch of the whole tumor. MRI is a less bold but time-consuming process as radiologists have to manually map out the tumor area from the scan before the classification. 

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[Paper Summary] An AI system trained by Loughborough University researchers recognizes the pre-movement patterns from an EEG

A group of researchers from the Intelligent Automation Center at Loughborough University has published a research paper focussed on possible results for training robots to ferret out the intention of arm movement before humans articulate the movement.

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