POC

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HPC VESSEL MAINTENANCE OPTIMIZATION BY NATURAL LANGUAGE ASSISTANCE

FIGAL Innova and SREC Solutions developed a system to assist vessel operators for predictive maintenance of ship machinery. The partners optimize crew effort using Natural Language Understanding, an AI technology […]

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MULTIPHYSICS AND MULTISCALE MODELLING OF AERONAUTICAL COMPONENTS

The autoclave process is the primary fabrication method for aerospace composites. It requires expensive trial-and-error to set a cure cycle for complex components. This experiment aimed to optimize the process […]

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HIGH-PERFORMANCE COMPUTING ENHANCES TREATMENT PRECISION IN BREAST CANCER

The proposed experiment aims to improve personalized drug response prediction tools by analysing cancer patients’ molecular profiles. This intelligent diagnostic platform will identify drugs with high effectiveness, reducing human and […]

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HIGH-PERFORMANCE COMPUTING FOR HIGH-VALUE WEATHER FORECAST

The HERCULES project aims to develop detailed information on aeronautical meteorological conditions at departure and arrival airports, focusing on the vulnerability of Unmanned Aerial Vehicles (UAVs) to icing and adverse […]

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CLOUD-BASED HPC PLATFORM TO SUPPORT SYSTEMIC-PULMONARY SHUNTING PROCEDURES

Congenital heart diseases (CHDs) account for one-third of birth defects. Interventions and resources are needed to improve survival and quality of life. A proposed application experiment aims to support surgical […]

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AI-PLATFORM FOR AUTOMATED TRAINING OF OBJECT DETECTION MODELS BASED ON CAD DATA

Deep learning object detection is increasingly used in industrial applications, but its training requires a huge number of images and the objects that can be recognized are limited. This experiment […]

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AI/ML COMPUTER VISION FOR THE NEXT GENERATION POULTRY FARMS

Researchers from consortium engaged poultry farms to understand their business challenges and propose an IoT-based management solution. They used HPC and deep learning AI to create prediction models for edge […]

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ADVANCED HPC BASED DRUG DISCOVERY WITH CONVERGED DEEP PHYSICS AND AI

A unified HPC framework aims to reduce structure generation time, binding free energy calculation time, and computing costs in the pharmaceutical industry, reducing discovery time by 25% and costs by […]

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HPC for canned food dynamics

The COVID-19 pandemic has increased demand for canned food, particularly sterilization equipment. This project proposes an innovative tool using OpenFOAM and HPC to aid design and manufacturing processes of autoclaves, […]

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High-performance computing for profile extrusion

This experiment aims to develop a computational framework for profile extrusion die design in HPC facilities, reducing development costs and time to market. The consortium includes manufacturing, research, and engineering […]