Blog

Our team has excelled in the Open Call for Innovative Start-Ups, and it is now contributing to the 5GLOGINNOV’s vision by deploying a Driver Drowsiness Detection system in the port of Piraeus.

The answer is over 7 Km distance regarding the Green House Gas emissions equivalent!

A research paper presenting a novel Deep Neural Network-based indoor localization method developed by LIBRA AI for a U-Blox 5-months data science-as-a-service contract is now published in the Sensors (MDPI), the leading international, peer-reviewed, open access journal on the science and technology of sensors.

We are immensely proud of our Data Science team, who had competed in the "Algorithm for Predicting Water Meter Consumption" category of the EYDAP incentive prize competition and won the second prize. 

2021 has been undoubtedly a complex and challenging year for most businesses in such different ways. For LIBRA AI Technologies, it has been a milestone year, full of hard work, new experiences, opportunities and lessons learned. In this article, the company’s managing partners highlight the main activities and accomplishments for 2021.

The 4th Training Workshop of LIBRA AI Technologies was successfully organized on December 17, 2021, in an exceptional conference space at the Serafio, the City of Athens, with the participation of the LIBRA team members and several honoured guests, managing to exceed the 30 attendees. Afterwards, the company's Christmas party took place, bringing together the whole company for celebrating its accomplishments with close friends and collaborators.

This blog post provides a simple workaround for querying Apache Druid using a traditional SQL editor. Apache Druid is a popular database often used for real-time analytics applications such as Business Intelligence and Clickstream analytics. Due to its capability to ingest new data in real-time and perform sub-second queries over vast amounts of data.

LIBRA is joining forces with key technology experts around Europe and five major mine operators within the Dig_IT H2020 project to address the mining industry's needs for more sustainable use of resources, keeping citizens and the environment at the forefront of their priorities.

A real stream of events from EventStreams Wikipedia’s web service to a Kafka topic for familiarization or experimentation with Apache Kafka and python client library.