New project SLICE – Combining social agent architectures and machine learning
Slice (Social Learning for Intelligent Characters) is one of the most recent projects of INESC-ID. This project’s objective is to develop and validate an authoring-friendly framework for the creation of transparent social intelligent agents capable of being deployed as virtual characters in training simulations or games, or used to drive the behavior of social robots. This framework joins two until now disparate areas of artificial intelligence research, namely, social agent architectures and machine learning.
By using machine learning techniques over a solid social theory foundation that defines the structure of the learning task, our framework provides a new methodology where authors can create intelligent characters by providing examples of social interaction.
The INESC-ID team is coordinated by Pedro Santos from ISS and is composed of researchers Rui Prada, João Dias, and Manuel Lopes.
Mathematics, Physics & Machine Learning Seminar Series (Online)
The Mathematics, Physics & Machine Learning seminar series takes place until July 16, between 17:30 and 18:30, via Zoom.
The seminars aims to bring together mathematicians and physicists interested in machine learning (ML) with ML and AI experts interested in mathematics and physics, with the goals of introducing innovative Mathematics and Physics-inspired techniques in Machine Learning and, reciprocally, applying Machine Learning to problems in Mathematics and Physics.
Attendance is free but registration is required.
More information and the next seminars available here.
LxMLS 2020 – 10th Lisbon Machine Learning School
The 10th edition of Lisbon Machine Learning School, LxMLS, will take place from July 21st to July 29th at Instituto Superior Técnico (IST).
This event is organized by IST, Instituto de Telecomunicações (IT), INESC-ID, Unbabel, and Priberam Labs.
Applications until March 15th. For more information and to apply, access here.