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Current issue

ELEKTRO 7/2019 was released on June 26th 2019. Its digital version will be available on July 26th 2019.

Topic: Cables, conductors and cable engineering, Tools, equipment and accessories for work with cables

Main Article
Asset management and diagnostic needs in Industry 4.0

SVĚTLO (Light) 4/2019 was released on July 29th 2019. Its digital version will be available on August 29th 2019.

Lighting installations
Foxtrot controls new location of barmans
Dynamic illumination of Guardian Angels’ chapel in Sušice

Accessories of lighting installations
Safety, austerity and comfort with KNX
Worldwide first LED switching source with KNX interface from MEAN WELL producer
KNX – the system with future
Schmachtl – connector installation gesis

First self-driving cognitive vehicle uses IBM Watson

08.07.2016 | Kurzweil | www.kurzweilai.net

Local Motors, creator of the world’s first 3D-printed cars, has developed the first self-driving “cognitive” vehicle, using IBM Watson Internet of Things (IoT) for Automotive.

The vehicle, dubbed “Olli,” can carry up to 12 people. It uses IBM Watson and other systems to improve the passenger experience and allow natural interaction with the vehicle. Olli will be used on public roads locally in Washington DC and later this year in Miami-Dade County.

FIrst cognitive self-driving vehicle

Olli is the first vehicle to use the cloud-based cognitive computing capability of IBM Watson IoT to analyze and learn from high volumes of transportation data, produced by more than 30 sensors embedded throughout the vehicle. Sensors will be added and adjusted continually as passenger needs and local preferences are identified.

Four Watson developer APIs — Speech to Text, Natural Language Classifier, Entity Extraction and Text to Speech — will enable passengers to interact conversationally with Olli while traveling from point A to point B, discussing topics about how the vehicle works, where they are going, and why Olli is making specific driving decisions. Passengers can also ask for recommendations on local destinations such as popular restaurants or historical sites based on analysis of personal preferences.

Read more at Kurzweil

Image Credit: Local Motors

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