[rede.APPIA] Fwd: [Distinguished Lecture Series] Prof. Milind Tambe – AI for Social Good: Learning and Planning in the End-to-End, Data-to-Deployment Pipeline – 17 April – 13h30

——– Mensagem reencaminhada ——– Assunto: [Distinguished Lecture Series] Prof. Milind Tambe – AI for Social Good: Learning and Planning in the End-to-End, Data-to-Deployment Pipeline – 17 April – 13h30 Data: Tue, 16 Apr 2019 10:11:49 +0100 De: Ana Paiva <paiva.a@gmail.com> Para: Jose Alferes <jja@fct.unl.pt>, Margarida Abecasis <mabecasis@gulbenkian.pt>, Paulo Novais <pjon@di.uminho.pt>, Eugénio Oliveira <eco@fe.up.pt>

Por favor, divulgar… É já amanhã.
> Begin forwarded message: > > *From: *”Manuela Sado” <manuela.sado@inesc-id.pt > <mailto:manuela.sado@inesc-id.pt>> > *Subject: **Reminder – [Distinguished Lecture Series] Prof. Milind > Tambe – AI for Social Good: Learning and Planning in the End-to-End, > Data-to-Deployment Pipeline – 17 April – 13h30* > *Date: *15 April 2019 at 17:47:28 GMT+1 > *To: *<investigadores@inesc-id.pt <mailto:investigadores@inesc-id.pt>> > *Cc: *Sandra Sá <sandra.sa@inesc-id.pt <mailto:sandra.sa@inesc-id.pt>> > *Reply-To: *manuela.sado@inesc-id.pt <mailto:manuela.sado@inesc-id.pt> > > Reminder – [Distinguished Lecture Series] Prof. Milind Tambe – AI for > Social Good: Learning and Planning in the End-to-End, > Data-to-Deployment Pipeline – 17 April – 13h30 > Prof. Milind Tambe > University of Southern California > /AI for Social Good: Learning and Planning in the End-to-End, > Data-to-Deployment Pipeline > /17 April 2019, 13h30 > Room 0.19/0.20, IST – Pavilhão de Informática II, Alameda > > Abstract: With the maturing of AI and multiagent systems research, we > have a tremendous opportunity to direct these advances towards > addressing complex societal problems. I will focus on the problems of > public safety and security, wildlife conservation and public health in > low-resource communities, and present research advances in multiagent > systems to address one key cross-cutting challenge: how to > strategically deploy our limited intervention resources in these > problem domains. I will discuss the importance of conducting this > research via building the full data to field deployment  end-to-end > pipeline rather than just building machine learning or planning > components in isolation. Results from our deployments from around the > world show concrete improvements over the state of the art. In pushing > this research agenda, we believe AI can indeed play an important role > in fighting social injustice and improving society. > > Bio: Milind Tambe is Helen N. and Emmett H. Jones Professor in > Engineering at the University of Southern California(USC) and the > Founding Co-Director of CAIS, the USC Center for Artificial > Intelligence in Society, where his research focuses on advancing AI > and multiagent systems research for Social Good. He is recipient of > the IJCAI (International Joint Conference on AI) John McCarthy Award, > ACM/SIGAI Autonomous Agents Research Award from AAMAS (Autonomous > Agents and Multiagent Systems Conference), AAAI (Association for > Advancement of Artificial Intelligence) Robert S Engelmore Memorial > Lecture award, INFORMS Wagner prize, the Rist Prize of the Military > Operations Research Society, the Christopher Columbus Fellowship > Foundation Homeland security award, International Foundation for > Agents and Multiagent Systems influential paper award; he is a fellow > of AAAI and ACM. He has also received meritorious Commendation from > the US Coast Guard and LA Airport Police, and Certificate of > Appreciation from US Federal Air Marshals Service for pioneering > real-world deployments of security games. Prof. Tambe has also > co-founded a company based on his research, Avata Intelligence , where > he serves as the director of research. Prof. Tambe received his Ph.D. > from the School of Computer Science at Carnegie Mellon University. > > *****Manuela Sado* > Secretariado / Secretariat > INESC-ID > URL:___www.inesc-id.pt_<www.inesc-id.pt/> > Rua Alves Redol, 9, sala 434 > 1000-029 Lisboa > Portugal > Tel.: +351 213 100 317 > Email:___manuela.sado@inesc-id.pt_<mailto:manuela.sado@inesc-id.pt> > Skype: maria.manuela.sado >