HIGH 5! Here is the news update of the latest trends from the global technology and startup scene. HIGH 5 is published by Lab1886. This week’s topics are:
Laypeople trust algorithms more +++ Volocopter’s city-center air taxi station +++ Blockchain substitutes collaboration for competition +++ Smart helmet detects impacts +++ Speed-sensing lidar
Researchers from Harvard and the University of California have completed a study on “algorithmic appreciation”. Using six experiments, they showed that laypeople are more likely to take advice if they believe it comes from an algorithm rather than another human being. Experts, on the other hand, relied less on algorithms – even if this hurt their accuracy.
Volocopter is planning to build the first prototype of an in-city air taxi station in Singapore this year. The German startup wants to test out passenger movements between the passenger lounge and the aircraft. Part of the company’s strategy involves designing the ecosystem required for “urban flight mobility”, including air traffic management, urban regulation, and take-off and landing infrastructure.
Source: New Atlas
An enterprise blockchain only really succeeds if its sponsors – usually competitors – are all working to a common vision. This runs counter to conventional management science. Consequently, the biggest obstacle is not blockchain technology, but competitive thinking. And yet this is precisely where success appears to lie: The larger the network, the higher the returns. The mindset for such corporate interdependence has been dubbed “co-opetition”.
The Madillo cycle helmet created by design student Lukas Franz is made of auxetic material. Not only does it automatically adapt to fit each wearer’s individual head shape – it glows red whenever the cyclist or scooter rider brakes. In an accident, the helmet’s LEDs pulsate in warning. It can also call emergency services and send them details of the rider’s location.
Aurora, a startup specializing in the development of self-driving vehicles, has acquired Blackmore, a specialist in frequency-modulated continuous-wave systems. Blackmore’s laser technology consists of a Doppler lidar that not only scans the environment for objects, but also works out their velocity. For self-driving cars, the system depicts relative speeds in color: objects in blue are approaching, objects in red are moving away. The faster the object, the darker the hue.
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