More is different: how complex networks lead to new emergent social behavior
Prof. Jorge M. Pacheco, Universidade do Minho – Abstract: The holy-grail of computational social science is to understand how societies behave as a collective, knowing how individuals interact with each-other. Conversely, if all we know is how societies behave collectively (as happens all too often…
Privacy-Preserving Event Stream Processing in the Cloud
Prof. Pascal Felber, Université de Neuchâtel, Institut d’informatique – Abstract: Stream processing provides an appealing paradigm for building large-scale distributed applications. Such applications are often deployed over multiple administrative domains, some of which may not be trusted. Recent attacks in public clouds indicate that a…
Folk Theorems for Multi-Agent Systems
Prof. Michael Wooldridge, University of Oxford – Abstract: The Nash Folk Theorems are a collection of related results that characterise the Nash equilibria that can be sustained in repeated games. As the name suggests, the Folk Theorems are technically simple, but this simplicity belies the…
Behavioral Signal Processing: Enabling human-centered behavioral informatics
Prof. Shrikanth Narayanan, University of Southern California, USA – Abstract: Audio-visual data have been a key enabler of human behavioral research and its applications. The confluence of sensing, communication and computing technologies is allowing capture and access to data, in diverse forms and modalities, in…
Elastic and Fault-Tolerant Stream Processing in the Cloud
Prof. Peter Pietzuch, Department of Computing, Imperial College London – Abstract: As users of “big data” applications want fresh processing results, we witness a new breed of stream processing systems that are designed to scale to large numbers of cloud-hosted machines. Such systems face new…
What happens when you let reality inspire your research?
Prof. Paulo Veríssimo, University of Lisbon, Portugal – Abstract: It is not often that one finds concrete problems capable of inspiring really advanced research. Computing and communications, having become commodities which societies largely depend on, created such an opportunity in what concerns their security and…
Disciplined Approximate Computing: From Language to Hardware, and Beyond
Prof. Luis Ceze, University of Washington, USA – Abstract: Energy is increasingly a first-order concern in computer systems. Exploiting energy-accuracy trade-offs is an attractive choice in applications that can tolerate inaccuracies. A key challenge, though, is how to isolate parts of the program that must…
Talk1:The OpenRISC experience & Talk2:Machine Guided Energy Efficient Compilation
Dr. Jeremy Bennett , Embecosm, UK – Abstract: Dr. Jeremy Bennett brings us two short lectures: the first one is under the theme “Free softcores, tools and toolchains: The OpenRISC experience”, the second short lecture is about “MAGEEC: Machine Guided Energy Efficient Compilation”. Free softcores,…
Head in the clouds: an overview of cloud computing and some associated research challenges
Prof. Rodrigo Rodrigues, Universidade Nova de Lisboa, Portugal – Abstract: Cloud computing is a fast growing, multi-billion dollar industry, with several forecasts predicting an annual growth rate for this market that is well above 20% during the remainder of the current decade. In this talk…
Repetitions in Strings
Prof. Maxime Crochemore, Université Paris-Est, France – Abstract: Large amounts of text are generated every day in the cyberspace via Web sites, emails, social networks, and other communication networks. These text streams need to be analysed to detect critical events or the monitor business for…
Mathematics, Physics & Machine Learning Seminar Series (Online)
The Mathematics, Physics & Machine Learning seminar series has started on October 2020 and runs until March 2021.
The seminars aim to bring together mathematicians and physicists interested in machine learning (ML) with ML and AI experts interested in mathematics and physics, with the goal 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 is available here.
Energy Virtual Experience – EVEx 2020
The event “Energy Virtual Experience” ( EVEx 2020) will take place online, from 23rd to 27th November 2020.
“Energy Virtual Experience” will provide 4 different interactive experiences: EVEx Talks, EVEx MasterClass, EVEx Academy, and EVEx Expo/Busines. These four experiences will be centered on “Ibero-American post-pandemic energy transition”.
Looking to stimulate interdisciplinary studies and innovative solutions in energy area, call for papers and projects will be launched soon.
INESC-ID researcher and IST Professor, Rui Castro, is member of the scientific committee of EVEx 2020.
IST /INESC-ID Distinguished Lecture – An Ethical Crisis in Computing?
Computer scientists think often of “Ender’s Game” these days. In this award-winning 1985 science-fiction novel by Orson Scott Card, Ender is being trained at Battle School, an institution designed to make young children into military commanders against an unspecified enemy. Ender’s team engages in a series of computer-simulated battles, eventually destroying the enemy’s planet, only to learn then that the battles were very real and a real planet has been destroyed.
The benefits of computing seemed intuitive to us. We truly believe that computing yields tremendous societal benefits; for example, the life-saving potential of driverless cars is enormous! Like Ender, however, we realized recently that computing is not a game–it is real–and it brings with it not only societal benefits, but also significant societal costs, such as labor polarization, disinformation, and smart-phone addiction.
The real issue is how to deal with technology’s impact on society.
Technology is driving the future, but who is doing the steering?
Moshe Y. Vardi is University Professor and the George Distinguished Service Professor in Computational Engineering at Rice University. He is the recipient of several awards, including the ACM SIGACT Goedel Prize, the ACM Kanellakis Award, the ACM SIGMOD Codd Award, the Blaise Pascal Medal, the IEEE Computer Society Goode Award, and the EATCS Distinguished Achievements Award.
He is the author and co-author of over 650 papers, as well as two books. He is a fellow of several societies, and a member of several academies, including the US National Academy of Engineering and National Academy of Science.
He holds seven honorary doctorates. He is a Senior Editor of the Communications of the ACM, the premier publication in computing.