2022-11-19, 17:00–17:30 (Europe/Athens), Room I
In post AI-winter era, ML and AI are more transparent than ever and along with the tremendous growth of data, have born groundbreaking technological novelties. Companies, universities, scientists and practitioners have access on this abundance of information, taking advantage of state-of-the-art models, enabling them to revolutionize the industry.
This talk will set the frame around the problems and latest innovations in AI and discuss about open source tools and technologies promoting the accessibility to ML models and data.
Stavros Niafas is a Machine Learning engineer involved in machine/deep learning, active learning, MLOps and computer vision. He is also actively engaged in systems engineering, FLOSS & photography.
Lately he is on a journey to democratize ML and fill the gap between research and production.