Monday, October 7, 2019

Researchers ID People Through Walls Using WiFi Signals & Walking Style

A group of researchers from UC Santa Barbara has developed a new way to identify people behind the walls using off-the-shelf Wi-Fi transceivers and analyzing their walking gait. The technique proposed by Yasamin Mostofi and her team is called XModal-ID (pronounced Cross-Modal-ID). It can identify if a person behind the wall is the same as […]

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Researchers ID People Through Walls Using WiFi Signals & Walking Style
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Playing Grand Theft Auto Inside A Neural Network’s Hallucination? It’s Possible!

Ever imagined what a Neural Network's hallucination would look like? The post Playing Grand Theft Auto Inside A Neural Network’s Halluc...