17.30-18.05: Dissecting Alexa: Machine Learning and Language Processing Through Linguistic Lens, You Wang, Amazon, UK/Poland.
18.05-18.40: On the potential and applications of Multi-task Learning, Efklidis Katsaros, Gdansk Tech, Poland.
18.40-19.15: Introduction to Neural Architecture Search: Supernetworks, Maciej Szankin, Intel Labs, San Diego, USA.
Interesting discussion is planned after each lecture so please prepare your questions!
The meeting will be organized using the Zoom platform. All registered participants will receive the appropriate link a day before the event.
Information about Speakers:
You Wang have been working as a Research Scientist in Amazon Alexa TTS team for over 4 years and she is currently a technical lead for the scaling and automation of voice building technologies. Her main research areas are Natural Language Processing and Text-to-speech Synthesis, especially multilingual and expressive TTS. Before
joining Amazon, she received master of science degree in Speech and Language
Processing from the University of Edinburgh. Beside work she also enjoy reading,
travelling and playing piano.
Efklidis Katsaros received the B.Sc. degree in mathematics from the Aristotle University of Thessaloniki, Greece, in 2016, and the M.Sc. degree (cum laude) in data science: statistical science from Leiden University, The Netherlands, in 2019. He is currently pursuing the Ph.D. degree in multi-task learning for computer vision in medical applications with the Department of Biomedical Engineering, Gdańsk University of Technology, Poland. Since 2020, he has been a Researcher at the Gdańsk University of Technology. His main research interests include machine learning and computer vision, with a focus on video processing and quality enhancement.
Maciej Szankin is an AI Research Scientist at Intel Labs Intelligent Systems Research (ISR) group. His interests span hardware-aware Neural Architecture Search (NAS) algorithm research and development, solving multi-objective optimization problems using evolutionary and genetic algorithms. In addition, he focuses on cross-domain learning for thermal vision-related tasks, which he explores in his Ph. D. research. Author of 15+ papers in CS/AI domain and a presenter during International events and conferences.
Please join us during this interesting event.
AI Bay / DIH4.AI / IEEE Computer Society
Please fill in a short form to obtain a link for the event (it will be sent by email a day before the seminar).