Artificial intelligence, a lever of change in the Basque Country
26-10-2021
Tekniker
The Basque Artificial Intelligence Centre (BAIC) was set up earlier this year to boost the Basque Country’s leadership role with regard to furthering research actions and projects related to this particular technology. Tekniker has all the necessary tools and expertise to become an outstanding asset in the new Basque ecosystem related to AI.
The Basque Country’s 2025 Digital Transformation Strategy approved by the Basque Government on March 31st 2021 clearly states that Artificial Intelligence is one of the most essential technological levers needed to address the main challenges that society and the Basque industrial sector are currently facing.
The Basque Artificial Intelligence Centre (BAIC) has been set up this year to allow the Basque Country to become an active leader in the area of research than can speed up projects related to AI and improve the competitiveness of the Basque industrial fabric.
This new element of public-private collaboration will focus on several goals: furthering the development of this technology in the Basque Country, articulating an all-encompassing system around AI and fostering the creation of new companies in this sector by involving local driving-force businesses.
Tekniker, an organisation that boats extensive expertise in the area of AI, is one of the scientific-technological actors that is already present in the Basque Country.
AI at Tekniker, from the cloud to the edge
We at Tekniker have been developing products and solutions based on AI technologies aimed at boosting an industry that is digital, smart, resilient and sustainable for a number of years.
The solutions offered by the technology centre in this field include, for instance, machine and deep learning techniques based on images, texts or measurements.
The broad range of AI technologies offers also includes artificial vision solutions for inspection or robotic navigation; data analytics to manage mobile logistic fleets; probabilistic techniques used to manage robot navigation and trajectories; or linguistic technologies such as Natural Language Processing for person/machine interactions.
The semantic technologies currently at our disposal also cover a wide range of applications by representing expert knowledge and rationale applicable to multichannel person/machine interactions; by defining usage policies and ensuring that these policies complied with; or by developing adaptive and adaptable interfaces.
On the other hand, the combination of big data and machine learning technologies with digital twin technologies offers major advances in terms of predictive and prescriptive maintenance actions for equipment. It also guarantees quality and allows for data quality management.
And, lastly, the implementation of the edge processing paradigm for embedded AI algorithms that can be run locally on processors to develop applications for vehicles, applications for component status analytics and medical devices.
Tekniker’s experience within this range of Artificial Intelligence technologies is associated with multiple applications based on data acquisition, processing and reasoning to develop smart products and solutions
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