State-of-the-Art FinFET Technology: An Industry Designer’s Perspective
Gonçalo Nogueira, Socionext, Inc – Abstract: Size scaling of CMOS transistors has been happening for the past 30 years, with technologies like FinFET or FD-SOI being used recently to make up for limitations found in Bulk technology. With TSMC releasing 5nm FinFET in 2019 (with…
“How Acting Through Autonomous Machines Changes People’s Decision Making” by Celso de Melo
Celso Melo, US Army Research Lab – Abstract: Recent times have seen an emergence of a new breed of intelligent machines that act autonomously on our behalf, such as autonomous vehicles. Despite promises of increased efficiency, it is not clear whether this paradigm shift will…
IT Governance in the Board Room
Steven de Haes, University of Antwerp – Abstract: Disruptive new technologies are increasing and have an important influence on the business we are doing. Previously, the board could delegate, ignore or avoid it, but that is no longer the case. Yet, it seems that 80%…
A Compiler-based Approach to Mitigate Fault Attacks Using SIMD Instructions
Alexander V. Veidenbaum, University of California at Irvine – Abstract: Today’s general-purpose microprocessors support vector (SIMD) instructions. This creates opportunities for developing new compilation approach to mitigate the impact of faults on cryptographic implementations, which is subject of this work. A compiler-based approach is proposed…
Bridging the design and implementation of distributed systems with program analysis.
Ivan Beschastnikh , University of British Columbia – Abstract: Much of today’s software runs in a distributed context: mobile apps communicate with the cloud, web apps interface with complex distributed backends, and cloud-based systems use geo-distribution and replication for performance, scalability, and fault tolerance. However,…
Bridging Informatics and Biology: case studies from the “field”
Daniel Sobral, Gulbenkian Science Institute – Abstract: In Biology, like in many disciplines, technological advances are generating a flurry of new data. Many researchers in Biology are having a hard time processing and integrating these new massive datasets to obtain biological insights. The Bioinformatics Unit…
Distributed Search and Recommendation with Profile Diversity
Esther Pacitti, INRIA & CNRS, University Montpellier – Abstract: With the advent of Web 3.0, the Internet of things, and citizen science applications, users are producing bigger and bigger amounts of diverse data, which are stored in a large variety of systems. Since the users’…
INVITED TALK – Dr. Amit Kumar Pandey
, SOFTBANK ROBOTICS EUROPE (SBR) – Abstract: Title: End User Expectations From the Social Robotics Revolution: an Industrial Perspective Never before in the history of robotics, robots have been so close to us, in our society. We are ‘evolving’, so as our society, lifestyle and…
Robot learning from few demonstrations by exploiting the structure and geometry of data
Sylvain Calinon , EPFL – École Polytechnique Fédérale de Lausanne – Abstract: Many human-centered robot applications would benefit from the development of robots that could acquire new movements and skills from human demonstration, and that could reproduce these movements in new situations. From a machine…
Urban Data Management, Analysis and Visualization
Claudio Silva, New York University – Abstract: The large volumes of urban data, along with vastly increased computing power, open up new opportunities to better understand cities. Encouraging success stories show that data can be leveraged to make operations more efficient, inform policies and planning,…
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.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.