EDIH Czech Technical University in Prague
Program
Projekty podpořené ze zahraničí (pracovní kód k dodatečnému upřesnění)
Provider
Another foreign provider
Departments
Investigators
Period
2023 - 2025
Description
The EDIH CTU represents a major European Digital Innovation Hub in the Czech Republic in the field of Artificial Intelligence (AI) and Machine Learning (ML) transferring trustworthy solutions and services to the industry, health, transportation and energy sectors. The EDIH CTU, with its vision "Inspire & Make the Czech AI-driven Industry", aims to become the innovation and technology leader in providing professional AI/ML services for the local SMEs, small mid-caps and public sector organizations with respect to their digital and green transformation. The strong consortium partners representing academia, business sector and key associations of enterprises in the Czech Republic provide sufficient know-how, expertise and state-of-the-art experimental facilities to serve the needs of the public and private sector at the national and also international level. The major focus is on promoting digital transformation adoption, providing high-quality services, education and knowledge sharing, pursuing ecosystem development, and establishing strong inter-EDIH collaboration. The consortium builds upon already existing partnerships in AI and manufacturing enabling best practice sharing, expertise exchange, and joint activities seeking far-reaching synergies thus strengthening the far-reaching impacts of the European network of EDIHs.
Software for evaluation of age with use of pelvis in Retrospective Anthropology, Archeology and Forensic Sciences
Program
Programme of applied research and experimental development in social sciences and humanities ETA
Provider
Technology Agency of the Czech Republic
Departments
Investigators
Code
TL03000646
Period
2020 - 2022
Description
The main objective and output of the project is to create user-friendly software for automatic evaluation of the age of adult skeletal remains. SW will allow age estimation based on sophisticated anthropological and statistical approaches, but its use will be easy even for the general bioarchaeological or forensic public.
The aim of the project is to reduce subjectivity and at the same time to increase the accuracy and reliability of methods for assessing the age of skeletal remains. The approach is based on quantification of changes in the surface area of the pelvic bone. It is an interconnection of several areas of science, from anthropology, archeology and acquisition of 3D data by surface scanners, through their processing by sophisticated statistical approaches, to computer science.
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