Trends of the Week 2018 – CW 24

Trends of the Week 2018 – CW 24

SELF-LEARNING HOUSE ADAPTS TO ITS OCCUPANTS

Together with IBM, Huf Haus has developed the "Ausblick" house, which has self-learning abilities and can now be visited in the show house park in Hartenfels. The intelligent home learns about the interactions of the residents, analyzing them with the help of IBM's Watson IoT platform, assigning behavior patterns and storing them. Networked sensors whose data are stored in the IBM cloud are used for this purpose. The Watson assistant enables a natural interaction between the residents and the house, which is supposed to get to know the habits of the residents over time and proactively optimize the comfort.

SHOPPING APP REWARDS EFFECTIVE USERS

The AI-based "Browzzin" app is a mixture of social network, e-commerce and affiliate marketing platform and enables its users to earn commissions when photos of their outfits lead to sales. Commissions vary by brand and range from four to 35 percent of the purchase price. This turns every user of the app into a digital influencer. Another feature is the upload of screenshots or outfits taken in the street. "Browzzin" then recommends cooperating online shops and stationary shops where the same or similar products are available.

INFLATABLE MATERIAL FROM THE 3D PRINTER

Together with researchers from the Massachusetts Institute of Technology, BMW has developed the first 3D printable material that can be inflated while changing its texture. The silicone printed material changes shape depending on the level of air pressure in the system. The pneumatic control used makes it possible to give it various properties and functions. The "Liquid Printed Pneumatics" could be used in the interior of cars in the future, for example to add massage functions to car seats.

ALGORITHM PROTECTS AGAINST FACE RECOGNITION

Researchers at the University of Toronto have succeeded in using an algorithm to protect photos from facial recognition technologies. They use a deep learning method in which two algorithms compete against each other. The first neural network identifies faces, while the other tries to outwit the facial recognition program, with both algorithms learning from each other. The result is that the algorithm designed to protect against facial recognition changes specific pixels in the photo that are barely visible to the human eye, but prevent the facial recognition algorithm from identifying them.

DRONES MONITOR CONSTRUCTION SITES

The Ministry of Infrastructure Development of the South African province of Gauteng has deployed a fleet of drones to oversee construction projects in and around Johannesburg. The aim is to curb corruption in the construction industry, which causes up to 40 percent higher costs. In addition, the quality of the work is to be monitored and it is to be ensured that the schedule is adhered to for each construction project. The drones will oversee some 340 construction projects to be completed over the next three years.