Geek report: the world's most high-tech dress & more

30 January 2017 - 15:39 By Shelley Seid
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Model Bethan Showerby wears the world's most hi-tech dress made from graphene at its unveiling at the intu Trafford Centre in Manchester.
Model Bethan Showerby wears the world's most hi-tech dress made from graphene at its unveiling at the intu Trafford Centre in Manchester.
Image: Peter Byrne/PA Images via Getty Images

Our weekly guide to the latest tech innovations

THE WORLD'S SMARTEST LITTLE BLACK DRESS

At its launch in Manchester, UK, last Wednesday, the world's smartest little black dress lit up the stage.

Made from Graphene, a material 200 times stronger than steel and which conducts electricity better than anything else in the world, it used the model's breath to generate the frock's LED lights.

The Nobel Prize-winning fabric invented in 2004 by scientists from the University of Manchester, is a million times thinner than human hair.

CHIPS! YOU MAY BE DRUNK

A US brand of crisps can tell you if you are too drunk to drive. Tostitos limited edition "party safe" bag has a built-in alcohol sensor. If the bag turns red when you breathe into it you are over the limit; if it turns green you are good to go.

It will be available on Superbowl Sunday, the annual championship of the US National Football League - and the manufacturers have even thrown in a $10 Uber voucher if you've had too much to drink.

WATCH: Find out more about Tostitos limited edition "party safe" bag

APP-ARENTLY YOU'RE SICK

A research team is working on an app that will warn you when you're about to get sick.

The team from Stanford University in California has worked with 60 volunteers using wearable devices to collect data on the behaviour of the body. This includes among other things, heart rate, length of sleep and temperature.

Over a sustained period of time the researchers found that they could pinpoint a change in the body's functioning before the volunteer became physically aware of the changes. The hope is that the app will be able to trigger warnings for chronic diseases such as diabetes.

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