KW 26: Features that Apple didn’t mention during the keynote, Uber is coming to Vienna, Google to auto-delete users’ records by default


Features that Apple didn’t mention during the keynote: Apple presented numerous innovations at the annual WWDC developer conference. However, CEO Tim Cooks did not mention the new option of choosing an app alternative to Apple’s own standard applications. This means that in the future, Gmail, Outlook, Spark or other mail apps can be used to open mailto links. Apple is also expanding its privacy options. An indicator will appear in the upper area of the screen as soon as an app accesses the microphone or camera on your iPhone or iPad.

Uber is coming to Vienna: Uber already exists in big cities like Sydney, Boston, Paris, Amsterdam, Berlin and London. It is now also available in Vienna and is becoming a key component of the smart city ecosystem. Uber’s tools allow conclusions to be drawn about the mobility behavior of a city, which can be used by city planners, authorities, research institutions and the interested public.

Particularly popular with homeowners: Homeowners spend around €2,549 more on smart home solutions than people who rent. With an average of five devices, they use 66 percent more technology than tenants. Homeowners are also more interested in smart home appliances than smart entertainment solutions.

Google to auto-delete users’ records by default: Google is changing its default settings to automatically delete some of the data it collects about users. Web and app activity, including a log of website searches and pages visited, as well as location data, will now be wiped after 18 months. YouTube histories – including which clips were watched and for how long – will be erased after 36 months. The changes apply to new accounts only but existing users will soon be shown new prompts to adjust their settings.

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On average, men spend over 90 percent more money on technology than women.


Google’s voice assistant broadcasts voice messages to other rooms: Google is currently testing a new extension for the broadcast function of Google Assistant. The new function is especially interesting for smart speakers. Voice messages can be sent to specific devices with intelligent voice assistants. So far, this function is still in a test run and is probably only available to a few English-speaking users.

Smart living through networked sensors: Networked sensors can support people in everyday life and react quickly in an emergency. The “uCORE” controller developed by Frauenhofer IGD networks different sensors with one another, which can recognize certain situations in the home and carry out actions. Together with the “uLive” software, the controller recognizes various predefined situations and solves defined actions individually. Above all, these systems could support the older generation in everyday life. The sensor systems already established on the market are mostly isolated solutions from individual manufacturers. It is almost impossible to combine these different sensors and devices – a problem that is solved by the uCORE controller.


“The household of the future is networked. In the future, smart everyday objects will independently carry out commands or take control while the residents are on vacation. This makes the apartment smarter, more comfortable, safer and more environmentally friendly – but also prone to malfunctions.”
Dr. Holger Rommel, Head Research & Digital Transformation at ti&m, on household risks from IoT devices.,


AI has a racial and gender bias problem: Face recognition using artificial intelligence continues to be used in recruiting or even law enforcement, as is the case in the United States. But neural networks aren’t very reliable yet, says Dr. Thomas Schmid, computer scientist at the University of Leipzig. The amount of data is pivotal for what the AI learns. It is striking that AI systems works best for white, light-skinned men. The error rates for women and people with a non-white skin color are noticeable. IBM has now announced that it will withdraw its AI-based facial recognition because the error rates for minorities were too high. Amazon has also found that women were rated lower by an AI during application processes as soon as their gender was entered as female.

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