EJIE – Productivisation of AI-Based Language Tools

EJIE – Productivisation of AI-Based Language Tools EJIE  Sector: Services Business Case How to run translation, transcription and synthesis models in service mode on day 1. Objetivos Technical: service scaling based on needs and autorecovery. Functional: When the translation can be improved, how do we detect and correct it? Use case The models were deployed […]

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Iberdrola – Environmental Asset Management

Iberdrola – Environmental Asset Management Iberdrola  Sector: Energy Business Case In December 2022, Iberdrola launched its Biodiversity Plan, which aims to achieve a net positive impact on the ecosystems and species where it operates by 2030. The fundamental pillars are regeneration and creation of natural value, conservation of natural heritage, and creation of social value.

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Ariadna Grid – ARIADNA Connectivity Algorithm: Automatic Detection of LV Grid Topology

Ariadna Grid – ARIADNA Connectivity Algorithm: Automatic Detection of LV Grid Topology Ariadna Grid  Sector: Energy Business Case How can the low voltage (LV) grid topology be calculated using an AI? The connectivity of each meter with the corresponding transformer station, panel, line, and phase must be identified based on the recorded currents from the

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Seidor – ARIM – Autonomous Robotic Sea-Floor Infrastructure

Seidor – ARIM – Autonomous Robotic Sea-Floor Infrastructure Seidor  Sector: Industry Business Case Within the scope of a European project, Deusto SEIDOR is responsible for developing artificial vision software to detect, classify, and automatically count benthopelagic species (those living near the bottom) from images captured by aquatic observatories (LoVe Observatory), and autonomous aquatic robots (crawlers).

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FAGOR Arrasate – Anomaly Detection in Servo Drives

FAGOR Arrasate – Anomaly Detection in Servo Drives FAGOR Arrasate  Sector: Industry Business Case At times, the drives in our automation systems deteriorate due to factors like wear, loosening, or changing working conditions. The objective of this project is to establish proper operational cycles based on performance data and identify any unusual cycles. Objectives Identify

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Data Value Management – Mushroom Production Optimisation

Data Value Management – Mushroom Production Optimisation Data Value Management  Sector: Agriculture Business Case The development of a platform that uses machine learning models to identify key variables in mushroom production, providing real-time recommendations based on production status and predicting daily harvesting, optimising logistics and staffing. Objectives Identify the variables that most affected each stage

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Gestamp – XR Emulator: Advanced Production Process Visualisation and Interaction in Real Time

Gestamp – XR Emulator: Advanced Production Process Visualisation and Interaction in Real Time Gestamp  Sector: Industry Business Case The interactive visualisation of very large models requires prior optimisation processes to obtain complete scenes that can be visualised with a high degree of performance (rendering speed) and model quality (photo realism). Generating a complete plant model

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HUPI – Optimisation of Production Planning to Maximise the Number of Orders Shipped Within the Deadlines Set by the Customer

HUPI – Optimisation of Production Planning to Maximise the Number of Orders Shipped Within the Deadlines Set by the Customer HUPI  Sector: Industry Business Case Optimised production planning, which provides operators with a continuous view (before each shift) of the production orders to be processed at each stage of the process (manufacturing, assembly, processing, shipping)

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Ikerlan – IA4BAT – Optimisation and Artificial Intelligence for Real-Time Second Life Battery Operation

Ikerlan – IA4BAT – Optimisation and Artificial Intelligence for Real-Time Second Life Battery Operation Ikerlan  Sector: Energy Business Case Energy storage plays a vital role in tackling the energy transition challenge. It enhances the management of renewable energy production and ensures the stability of the electricity system as intermittent renewable technologies become more prevalent in

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