Deep Learning – Page 7

Ceit – Automated disassembly system for recovery of critical materials

Ceit – Automated disassembly system for recovery of critical materials Ceit Sector: Industry Business Case Robotic assembly tasks are well established in industry, but automated disassembly is not. There is a lack of automation in this process and it has been identified as one of the great environmental and technological challenges of the next decade. […]

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Mondragon Innovation | Humanity at work – Prediction of Polymer Creep Moduli using Machine Learning

Prediction / Iñaki Suarez

Mondragon Innovation | Humanity at work – Prediction of Polymer Creep Moduli using Machine Learning Mondragon Innovation | Humanity at work Sector: Industry Business Case Polymers gradually lose their stiffness over time when subjected to a constant load, a phenomenon known as creep. Tests to measure this phenomenon are very time-consuming and expensive, meaning the

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Mondragon Innovation | Humanity at work – Prediction of Home Delivery Activity (Last Mile Logistics)

Prediction / Iñaki Suarez

Mondragon Innovation | Humanity at work – Prediction of Home Delivery Activity (Last Mile Logistics) Mondragon Innovation | Humanity at work Sector: Commercial sector Business Case The number of orders to be delivered to customers’ homes is not homogeneous and fluctuates due to internal and external variables. Tailoring the sizing to the unique requirements of

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Ikerlan – MLOps for Distributed Training of Quality Control ML Models

Quality / Iñaki Suarez

Ikerlan – MLOps for Distributed Training of Quality Control ML Models Ikerlan Sector: Industry Business Case Recently, the company has developed various artificial intelligence models for its core operations. However, it recognises the necessity of creating a platform to oversee model quality in production and facilitate distributed training for the production lines it deploys at

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Multiverse Computing – Hospital Clinic: q-VIGILANCE

Prediction / Iñaki Suarez

Multiverse Computing – Hospital Clinic: q-VIGILANCE Multiverse Computing Sector: Energy Business Case The q-Vigilance project addresses the need to improve the prediction of symptom severity in patients using a quantum machine learning algorithm to overcome the limitations of the NEWS 2 model. This approach aims to provide faster and more accurate responses at Hospital Clinic

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Petronor – Soft Sensors

Prediction / Iñaki Suarez

Petronor – Soft Sensors Petronor Sector: Energy Business Case Determining process stream properties, such as pentanes in LPG streams or naphtha vapour pressure. Objectives Obtaining real-time values of the quality of intermediate and final products to: 1) optimise production and 2) minimise consumption associated with rework or corrective actions with little time margin. Use case

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SEIDOR – Deep Brain

Prediction / Iñaki Suarez

SEIDOR – Deep Brain SEIDOR Sector: Health Business Case Automatic brain anatomical substructure segmentation tools and holographic visualisation for diagnostic aid and decision support. Objectives The main objective is to create tools to support clinicians in the diagnosis, treatment and prognosis of brain diseases in which medical imaging is a criterion of great importance for

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SEIDOR – CATALYS: Glaucoma Artificial Intelligence System for Clinical Assistance

Prediction / Iñaki Suarez

SEIDOR – CATALYS: Glaucoma Artificial Intelligence System for Clinical Assistance SEIDOR Sector: Health Business Case Glaucoma is one of the predominant pathologies in ophthalmology, whose monitoring is necessary to follow the patient’s development. It was from this situation that the program Teleglaucoma, designed to monitor patients with different types of glaucoma, was conceived at the

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Petronor – Promise, Improving Machine Reliability

Quality / Iñaki Suarez

Petronor – Promise, Improving Machine Reliability Petronor Sector: Industry Business Case Improvement of machine and process reliability through the application of models for defect diagnosis and prognosis. Objectives Increase device life and minimise unplanned downtime. Improve security. Use case Creation of diagnostic and prognostic algorithms. Design of an algorithm that measures asset health footprint and

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SEIDOR – ARIM – Autonomous Robotic Sea-Floor Infrastructure

Quality / Iñaki Suarez

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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