Personalizing Personal Robots
Dan Grollman, Misty Robotics – Abstract: In this talk I’ll present some ideas on how to make your robot truly your own. Beyond sensing, thinking, and acting, robots need to feel and express their own unique interpretation of the world around them, and adapt themselves…
Timely, Reliable, and Cost-Effective Internet Transport Service using Structured Overlay Networks
Yair Amir, Johns Hopkins University – Abstract: Emerging applications such as remote manipulation and remote robotic surgery require communication that is both timely and reliable, but the Internet natively supports only communication that is either completely reliable with no timeliness guarantees (e.g. TCP) or timely…
Artificial sociality- modelling the social mind
Gert Jan Hofstede, Wageningen Universiteit – Abstract: Gert Jan will discuss ‘artificial sociality’, the subject for which he was recently appointed professor. It is about foundational conceptual models of human sociality based on social science, for use in agent-based models of complex systems in the…
HOOVER: Distributed, Flexible, and Scalable Streaming Graph Processing on OpenSHMEM
Max Grossman, RICE UNIVERSITY – Abstract: Many problems can benefit from being phrased as a graph processing or graph analytics problem: infectious disease modeling, insider threat detection, fraud prevention, social network analysis, and more. These problems all share a common property: the relationships between entities…
On the Self in Selfie
Christoph Kirsch, University of Salzburg – Abstract: Selfie is a self-contained 64-bit, 10-KLOC implementation of (1) a self-compiling compiler written in a tiny subset of C called C* targeting a tiny subset of 64-bit RISC-V called RISC-U, (2) a self-executing RISC-U emulator, (3) a self-hosting…
The Future of Cyber-autonomy
David Brumley, Carnegie Mellon University – Abstract: My vision is to automatically check and defend the world’s software from exploitable bugs. In order to achieve this vision, I am building technology, called Mayhem, that shifts the attack/defend game away from the current manual approaches for…
Improved Maximum Likelihood Decoding using sparse Parity-Check Matrices
Tobias Dietz, Technische Universität Kaiserslautern – Abstract: Maximum-likelihood decoding is an important and powerful tool in communications to obtain the optimal performance of a channel code. Unfortunately, simulating the maximum-likelihood performance of a code is a hard problem whose complexity grows exponentially with the blocklength…
Efficient paths in ordinal weighted graphs
Luca Schafer, Technische Universität Kaiserslautern – Abstract: We investigate the single-source-single-destination “shortest” paths problem in acyclic graphs with ordinal weighted arc costs. We define the concepts of ordinal dominance and efficiency for paths and their associated ordinal levels, respectively. Further, we show that the number…
Crypto-hardware design for secure applications
Erica Tena-Sánchez F. E. Potestad-Ordóñez, University of Seville – Abstract: Any electronic devices considered ‘secure’, and in fact any electronic device handling relevant information, make use of cryptographic services to ensure confidentiality, authentication and integrity of the processed data. These cryptographic engines implement mathematically secure…
Interactive Systems based on Electrical Muscle Stimulation
Pedro Lopes, University of Chicago – Abstract: How can interactive devices connect with users in the most immediate and intimate way? This question has driven interactive computing for decades. If we think back to the early days of computing, user and device were quite distant,…
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.