NGI – NEXT GENERATION INTERNET
The program brings the opportunity to connect with an unrivaled environment of excellence. A flourishing community of Explorers with multiple backgrounds and the potential to become drivers of change for the Next Generation of Internet. The opportunity to create synergies with other like-minded participants of the program to share experiences, collaborate and even create new partnerships.
Next Generation Internet is a concept that involves a broad spectrum of emerging technologies. A list of technological trends that will thoroughly reshape the Internet over the next 10-15 years.
The following Focus Areas have been defined in alignment with the vision of the European Commission. Applicants are encouraged to match their ideas with one or several of these topics.
1 October 2020
The core elements of solutions we provide include but not limited to
• AI research (computer vision, investigation of surgical workflows, knowledge representation, learning from data).
• Annotation/labelling for video (e.g. surgical procedures) and static data (e.g. histopathology, x-rays, etc.), ensuring high quality of annotations and data preparation for ML.
• Situation awareness, reasoning and decision support techniques.
Our research group proceeds a large amount of multi-modal data from electronic health records, cameras, and medical devices to develop AI-based systems that can assist clinicians and staff in their medical routines.
To ensure privacy and security while training our ML models, we utilize federated learning alongside with series of data protection techniques in federated learning pipeline as data aggregation, perturbation, secure multi-party computations, homomorphic encryption, etc.
We do believe that data fused and processed in a proper way combined with medical knowledge and experience and enriched with ad-hoc models, techniques, and analytic software tools are able to boost healthcare analytics, helping doctors, nurses, and medical staff provide the best decisions to possible care and treatment to patients.