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Current issue

ELEKTRO 12/2018 was released on December 12th 2018. Its digital version will be available on January 1st 2019.

Topic: Measurement engineering and measuring instruments; Testing industry and diagnostics

Main Article
Thermovision measurement in electrical power engineering
Smart Cities (part 5)

SVĚTLO (Light) 6/2018 was released on December 3rd 2018. Its digital version will be available on January 4th 2019.

Luminaires and light apparatuses
Modular floodlights Siteco
Decorative luminaire PRESBETON H-E-X from the integral series town equipment
LED luminaires ESALITE – revolution in sphere of industrial lighting

Daylight
About median illumination by daylight
Professional colloquium Daylight in practice

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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