INRIA BRASIL WORKSHOP @ SÃO PAULO
Channel: IME USP
Date: 10/04/2023

AUDITÓRIO JACY MONTEIRO
ABERTURA - 10 às 10h30

10:30 às 11:15

Fabio Gagliardi Cozman (USP)

Title: Research at the Center for Artificial Intelligence (C4AI)

Abstract:  This talk describes activities at the C4AI, in particular as related to
research. The center, sponsored by IBM and FAPESP, is committed to state-of-
art research in Artificial Intelligence (AI), exploring both foundational issues and
applied research. The C4AI also supports studies on the social and economic
impact of AI and carries activities aimed at technology transfer and knowledge
diffusion, looking for ways to improve human well-being and to increase
diversity and inclusion.

11h30 às 12h15
Frédéric Precioso - Université Côte d’Azur - Inria Maasai team

Title: Many ways of combining Symbolic and Non-symbolic AI

Abstract: In these works, we explore several ways to combine Symbolic and
Non-symbolic AI. We are convinced, as several other colleagues in AI
community, that reuniting these two branches of IA would lead to impressive,
more robust, more reliable, and more sustainable, AI models. I will present
some recent works we have done on Kownledge-Driven Active Learning, where
the criterion to select which new unlabeled sample should be annotated directly
derives from prior external knowledge on the data and First-Order-Logic
formulation. I will also present our on-going work on &quot;Learning to Explain and
Explaining to Learn&quot; where we look for concepts learned by the neural network
and for designing new hierarchical losses taking into account any priori
knowledge. I will finally present our recently published work on Concept Model
Embedding, and explain why the results are important and what could be the
next step. Finally, I will conclude with some applications and contexts of
application, in particular in automotive.

ALMOÇO - 12h15 às 13h30

Roberto Andre Kraenkel (UNESP – IFT)

Title: Covid-19 epidemic: models, and what to do with them.

In this talk I will introduce models used to quantitatively assess the Covid-19
epidemic, using examples and data from Brazil. I will discuss the role of the
effective reproduction number, how to calculate it and in which situations it is
 useful as a policy  instrument. I will also present how models where used to
estimate the reproduction number and the number os re-infections during the
Covid-19 gamma-variant outbreak in Manaus, Brazil, in January 2021. I will end
with some considerations about the lessons learned during the pandemic and
future prospects.