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• AI Algorithm in Medical Robotics

  Politecnico Di Milano (POLIMI)

  Providing expertise in the field of medical robotics (medical imaging for surgical planning, virtual reality, extended reality) to be eventually tailored to specific projects: 1) Definition of applications objectives 2) Data collection, data curation and bias evaluation 3) Preprocessing and optimization of feature extractions 4) Selection of suitable machine learning models, model training and testing 5) External validation 6) Interpretations of models (XAI algorithm applications and development) Keywords: AI, algorithm development, AI testing and validation, Medical Imaging for Surgical Planning, Virtual Reality, Extended Reality

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• AI algorithms development and improvement

  Fondazione Bruno Kessler (FBK)

  This service covers all key aspects of development and deployment of AI solutions, based on shallow machine learning or deep learning). State-of-the-art pipelines are generated/improved leveraging on various technonolgies or solutions such as: data encoding, management of missing data, data augmentation and syntetic data generation, model selection and optimisation, hyperparameters tuning, fine-tuning, data shift and transfer learning, reproducibility and explainability. Keywords: Biomedical data Analysis, Deep Learning, CNN, Machine Learning, Image Analysis, Synthetic Data Generation

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• AI and Optolectronics Prototype Optimization

  Multitel (MULTITEL)

  Design, Optimization and Small Series Production of Prototypes: The MULTITEL team excels in creating bespoke prototypes and limited series, demonstrating the potential of AI and optoelectronics applications in various domains.

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• AI Evaluation

  Vlaamse Instelling Voor Technologisch Onderzoek N.V. (VITO)

  Evaluation of medical AI using real-world Data and Synthetic Data to create a strong technical AI evaluation report. Method: evaluation of medical AI products, taking into account the differences between subpopulations, sources of bias, metric selection, uncertainty intervals, among others. Keywords: AI performance evaluation, test report

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• AI improvement and development

  RISE Research Institutes Of Sweden

  Method description: Develop and improve AI algorithms utilizing Deep Learning paradigms within Computer Vision, Data Analysis and Natural Language Processing. The service can include suggestions of applications and highlight strengths, weaknesses, or software development. The service is customized according to the SME's needs. Pre-requisites for the service are the analysis of data availability, data-readiness level and customer needs. Method reference: To be refined depending on the type of task, and in dialog with the customer. The Center for Applied AI at RISE carries out cutting-edge research in AI, connects expertise and applications within RISE, and explores a wide range of innovative applications with industry and the public sector. Applied AI Centre at RISE helps companies and government agencies to see more potential in the technology, use it more wisely and develop it faster. Keywords: Trustworthy AI, Federated learning, Data Science, AI, Deep Learning, Natural language processing, Computer Vision, Machine Learning

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• AI Model Development and Improvement

  Multitel (MULTITEL)

  Development and improvement of innovative AI solutions, tailored to the unique challenges and opportunities of the SME. From 1D, 2D, 3D data or multimodal data, MULTITEL develops and improves customized AI models, leveraging its expertise in AI, embedded systems, machine learning, optoelectronics and optics to deliver robust, efficient solutions. With a focus on refinement, MULTITEL also enhances the performance of existing AI models, ensuring they meet the latest standards in speed, accuracy, and functionality.

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